25.2.9.1 Text only Analysis

Chapter Contents (Back)
Text Analysis. Overlap with the Language/grammar work.
See also Grammar Based Analysis, Language Issues, Natural Language. More specific source:
See also Twitter Stream Analysis, Tweets, Texts, SMS, Internet.

Özgür, L.[Levent], Güngör, T.[Tunga], Gürgen, F.S.[Fikret S.],
Adaptive anti-spam filtering for agglutinative languages: A special case for Turkish,
PRL(25), No. 16, December 2004, pp. 1819-1831.
Elsevier DOI 0411
BibRef

Padmanabhan, D.[Deepak], Kummamuru, K.[Krishna],
Mining conversational text for procedures with applications in contact centers,
IJDAR(10), No. 3-4, December 2007, pp. 227-238.
Springer DOI 0712
BibRef

Ciltik, A.[Ali], Gungor, T.[Tunga],
Time-efficient spam e-mail filtering using n-gram models,
PRL(29), No. 1, 1 January 2008, pp. 19-33.
Elsevier DOI 0711
Spam filtering; n-Gram model; Heuristics; Agglutinative language; Free word order; Morphology; Turkish BibRef

Ko, Y.J.[Young-Joong], Seo, J.Y.[Jung-Yun],
An effective sentence-extraction technique using contextual information and statistical approaches for text summarization,
PRL(29), No. 9, 1 July 2008, pp. 1366-1371.
Elsevier DOI 0711
Text summarization; Sentence-extraction; Statistical approaches; Single- and multi-document summarization BibRef

Dey, L.[Lipika], Haque, S.M.[Sk. Mirajul],
Opinion mining from noisy text data,
IJDAR(12), No. 3, September 2009, pp. xx-yy.
Springer DOI 0911
BibRef

Youn, E.[Eunseog], Jeong, M.K.[Myong K.],
Class dependent feature scaling method using naive Bayes classifier for text datamining,
PRL(30), No. 5, 1 April 2009, pp. 477-485.
Elsevier DOI 0903
Classification; Feature selection; Naive Bayes classifier; Recursive feature elimination BibRef

Altincay, H.[Hakan], Erenel, Z.[Zafer],
Analytical evaluation of term weighting schemes for text categorization,
PRL(31), No. 11, 1 August 2010, pp. 1310-1323.
Elsevier DOI 1008
Contour lines; Term occurrence probability; Term weighting; Relative weights; Text categorization BibRef

Chen, L.F.[Li-Fei], Guo, G.D.[Gong-De], Wang, K.J.[Kai-Jun],
Class-dependent projection based method for text categorization,
PRL(32), No. 10, 15 July 2011, pp. 1493-1501.
Elsevier DOI 1106
Text categorization; Classification; Projection; Class-dependence; Feature weighting BibRef

Ozgur, L.[Levent], Gungor, T.[Tunga],
Text classification with the support of pruned dependency patterns,
PRL(31), No. 12, 1 September 2010, pp. 1598-1607.
Elsevier DOI 1008
Text classification; Lexical dependency; Pruning analysis; Reuters-21578 BibRef

Brucker, F.[Florian], Benites, F.[Fernando], Sapozhnikova, E.[Elena],
Multi-label classification and extracting predicted class hierarchies,
PR(44), No. 3, March 2011, pp. 724-738.
Elsevier DOI 1011
Multi-label classification; Hierarchy extraction; Text mining; Adaptive resonance theory (ART) BibRef

Seon, C.N.[Choong-Nyoung], Kim, H.[Harksoo], Seo, J.Y.[Jung-Yun],
Efficient appointment information extraction from short messages in mobile devices with limited hardware resources,
PRL(32), No. 2, 15 January 2011, pp. 127-133.
Elsevier DOI 1101
Appointment information extraction; A modified HMM; Mobile environment BibRef

Nie, L., Wang, M., Gao, Y., Zha, Z.J., Chua, T.S.,
Beyond Text QA: Multimedia Answer Generation by Harvesting Web Information,
MultMed(15), No. 2, 2013, pp. 426-441.
IEEE DOI 1302
BibRef

Li, Z.X.[Zhi-Xing], Xiong, Z.Y.[Zhong-Yang], Zhang, Y.F.[Yu-Fang], Liu, C.Y.[Chun-Yong], Li, K.[Kuan],
Fast text categorization using concise semantic analysis,
PRL(32), No. 3, 1 February 2011, pp. 441-448.
Elsevier DOI 1101
Text representation; Semantic analysis; Text categorization; Dimensionality reduction BibRef

Miao, Y.Q.[Yun-Qian], Kamel, M.[Mohamed],
Pairwise optimized Rocchio algorithm for text categorization,
PRL(32), No. 2, 15 January 2011, pp. 375-382.
Elsevier DOI 1101
Text categorization; Rocchio algorithm; Parameter optimization BibRef

Sohn, D.N.[Dae-Neung], Lee, J.T.[Jung-Tae], Han, K.S.[Kyoung-Soo], Rim, H.C.[Hae-Chang],
Content-based mobile spam classification using stylistically motivated features,
PRL(33), No. 3, 1 February 2012, pp. 364-369.
Elsevier DOI 1201
Mobile spam classification; Text messaging service; Stylistic features BibRef

DeBarr, D.[Dave], Wechsler, H.[Harry],
Spam detection using Random Boost,
PRL(33), No. 10, 15 July 2012, pp. 1237-1244.
Elsevier DOI 1205
Spam detection; Robust learning; Random Boost; Random projection; Logit Boost; Random Forest BibRef

Liu, X.Y.[Xin-Yue], Wang, Y.[You], Zhu, S.P.[Shao-Ping], Lin, H.F.[Hong-Fei],
Combating Web spam through trust-distrust propagation with confidence,
PRL(34), No. 13, 2013, pp. 1462-1469.
Elsevier DOI 1308
Web spam BibRef

Pinto, D.[David], Gómez-Adorno, H.[Helena], Vilariño, D.[Darnes], Singh, V.K.[Vivek Kumar],
A graph-based multi-level linguistic representation for document understanding,
PRL(41), No. 1, 2014, pp. 93-102.
Elsevier DOI 1403
Text mining BibRef

Xu, C.F.[Cong-Fu], Su, B.J.[Bao-Jun], Cheng, Y.B.[Yun-Biao], Pan, W.[Weike], Chen, L.[Li],
An Adaptive Fusion Algorithm for Spam Detection,
IEEE_Int_Sys(29), No. 4, July 2014, pp. 2-8.
IEEE DOI 1411
content-based retrieval BibRef

Jayashree, R., Srikantamurthy, K., Anami, B.S.[Basavaraj S.],
Sentence level text classification in the Kannada language: A classifier's perspective,
IJCVR(5), No. 3, 2015, pp. 254-270.
DOI Link 1509
BibRef

Liu, C.L.[Chien-Liang], Hsaio, W.H.[Wen-Hoar], Lee, C.H.[Chia-Hoang], Chang, T.H.[Tao-Hsing], Kuo, T.H.[Tsung-Hsun],
Semi-Supervised Text Classification With Universum Learning,
Cyber(46), No. 2, February 2016, pp. 462-473.
IEEE DOI 1601
Algorithm design and analysis BibRef

Li, M.[Mei], Pan, S.[Shirui], Zhang, Y.[Yang], Cai, X.Y.[Xiao-Yan],
Classifying networked text data with positive and unlabeled examples,
PRL(77), No. 1, 2016, pp. 1-7.
Elsevier DOI 1606
PU learning BibRef

Li, W., Joo, J., Qi, H., Zhu, S.C.,
Joint Image-Text News Topic Detection and Tracking by Multimodal Topic And-Or Graph,
MultMed(19), No. 2, February 2017, pp. 367-381.
IEEE DOI 1702
context-sensitive grammars BibRef

de Paulo Faleiros, T.[Thiago], Rossi, R.G.[Rafael Geraldeli], de Andrade Lopes, A.[Alneu],
Optimizing the class information divergence for transductive classification of texts using propagation in bipartite graphs,
PRL(87), No. 1, 2017, pp. 127-138.
Elsevier DOI 1703
Text classification BibRef

Xiang, Y., Chen, Q., Wang, X., Qin, Y.,
Answer Selection in Community Question Answering via Attentive Neural Networks,
SPLetters(24), No. 4, April 2017, pp. 505-509.
IEEE DOI 1704
Computer architecture BibRef

Razavi, M.[Marzieh], Magimai-Doss, M.[Mathew],
A Posterior-Based Multistream Formulation for G2P Conversion,
SPLetters(24), No. 4, April 2017, pp. 475-479.
IEEE DOI 1704
grapheme-to-phoneme. decoding BibRef

Nogueira, T.C., Ferreira, D.J., Carvalho, S.T., Berreta, L.O.,
Evaluating Responsive Web Design's Impact on Blind Users,
MultMedMag(24), No. 2, April 2017, pp. 86-95.
IEEE DOI 1705
Education, Guidelines, Internet and Web services, Medical services, Software engineering, Usability, Web design, HCI design and evaluation methods, Internet/Web technologies, accessibility, blind user, healthcare, mobile, multimedia, software engineering, usability, user, experience BibRef

Chen, C.H.[Chien-Hsing],
Improved TFIDF in big news retrieval: An empirical study,
PRL(93), No. 1, 2017, pp. 113-122.
Elsevier DOI 1706
Big news BibRef

Kordopatis-Zilos, G., Papadopoulos, S., Kompatsiaris, I.,
Geotagging Text Content With Language Models and Feature Mining,
PIEEE(105), No. 10, October 2017, pp. 1971-1986.
IEEE DOI 1710
data mining, feature extraction, geographic information systems, social networking (online), text analysis, BibRef

Cao, J., Zeng, K., Wang, H., Cheng, J., Qiao, F., Wen, D., Gao, Y.,
Web-Based Traffic Sentiment Analysis: Methods and Applications,
ITS(15), No. 2, April 2014, pp. 844-853.
IEEE DOI 1404
Context BibRef

Ebrahimi, M., Yazdavar, A.H., Sheth, A.,
Challenges of Sentiment Analysis for Dynamic Events,
IEEE_Int_Sys(32), No. 5, September 2017, pp. 70-75.
IEEE DOI 1710
Artificial intelligence, Sentiment analysis, Social network services, deep learning, intelligent systems, natural language processing, sentiment analysis, BibRef

Chien, J.T.[Jen-Tzung], Lee, C.H.[Chao-Hsi], Chien, J.T., Lee, C.H.,
Deep Unfolding for Topic Models,
PAMI(40), No. 2, February 2018, pp. 318-331.
IEEE DOI 1801
Documents. Biological neural networks, Feature extraction, Graphical models, Inference algorithms, Probabilistic logic, Stochastic processes, variational inference BibRef

Tu, D.[Ding], Chen, L.[Ling], Lv, M.Q.[Ming-Qi], Shi, H.Y.[Hong-Yu], Chen, G.C.[Gen-Cai],
Hierarchical online NMF for detecting and tracking topic hierarchies in a text stream,
PR(76), No. 1, 2018, pp. 203-214.
Elsevier DOI 1801
Topic modeling BibRef

Jia, C.[Caiyan], Carson, M.B.[Matthew B.], Wang, X.Y.[Xiao-Yang], Yu, J.[Jian],
Concept decompositions for short text clustering by identifying word communities,
PR(76), No. 1, 2018, pp. 691-703.
Elsevier DOI 1801
Short text clustering BibRef

Jiao, S.M.[Shu-Ming], Li, G.[Guowei], Zhou, C.Y.[Chang-Yuan], Zou, W.B.[Wen-Bin], Li, X.[Xia],
Special ciphertext-only attack to double random phase encryption by plaintext shifting with speckle correlation,
JOSA-A(35), No. 1, January 2018, pp. A1-A6.
DOI Link 1801
Fourier optics and signal processing , Phase retrieval, Pattern recognition, optical security and encryption BibRef

Ren, Y.[Yong], Wang, Y.N.[Yi-Ning], Zhu, J.[Jun],
Spectral Learning for Supervised Topic Models,
PAMI(40), No. 3, March 2018, pp. 726-739.
IEEE DOI 1802
large collections of documents. Algorithm design and analysis, Analytical models, Complexity theory, Computational modeling, supervised topic models BibRef

Guru, D.S., Suhil, M.[Mahamad], Raju, L.N.[Lavanya Narayana], Kumar, N.V.[N. Vinay],
An alternative framework for univariate filter based feature selection for text categorization,
PRL(103), 2018, pp. 23-31.
Elsevier DOI 1802
Dimensionality reduction, Filter based feature selection, Text classification, Feature redundancy BibRef

Kandemir, M.[Melih], Kekeç, T.[Taygun], Yeniterzi, R.[Reyyan],
Supervising topic models with Gaussian processes,
PR(77), 2018, pp. 226-236.
Elsevier DOI 1802
Latent Dirichlet allocation, Nonparametric Bayesian inference, Gaussian processes, Variational inference, Supervised topic models BibRef

Chen, W.L.[Wei-Ling], Zhang, Y.[Yan], Yeo, C.K.[Chai Kiat], Lau, C.T.[Chiew Tong], Lee, B.S.[Bu Sung],
Unsupervised rumor detection based on users' behaviors using neural networks,
PRL(105), 2018, pp. 226-233.
Elsevier DOI 1804
Online social networks, Rumor detection, Users' behavior BibRef

Liu, Y.[Yu], Li, L.[Lin], Shen, H.[Hang], Yang, H.[Hui], Luo, F.[Feng],
A Co-Citation and Cluster Analysis of Scientometrics of Geographic Information Ontology,
IJGI(7), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Andrade, D.[Daniel], Tamura, A.[Akihiro], Tsuchida, M.[Masaaki],
Exploiting covariate embeddings for classification using Gaussian processes,
PRL(104), 2018, pp. 8-14.
Elsevier DOI 1804
Logistic regression, Auxiliary information of covariates, Gaussian process, Text classification BibRef

Feng, G.Z.[Guo-Zhong], Li, S.T.[Shao-Ting], Sun, T.L.[Tie-Li], Zhang, B.Z.[Bang-Zuo],
A probabilistic model derived term weighting scheme for text classification,
PRL(110), 2018, pp. 23-29.
Elsevier DOI 1806
Latent feature selection indicator, Matching score function, Naive Bayes, Supervised term weighting, Text classification BibRef

Shin, S.J.[Su-Jin], Oh, J.Y.[Je-Yong], Park, S.[Sungrae], Kim, M.[Minki], Moon, I.C.[Il-Chul],
Hierarchical prescription pattern analysis with symptom labels,
PRL(111), 2018, pp. 94-100.
Elsevier DOI 1808
Patterns in the data. Hierarchical pattern analysis, Hierarchical topic models, Prescription pattern BibRef

Li, P., He, L., Wang, H., Hu, X., Zhang, Y., Li, L., Wu, X.,
Learning From Short Text Streams With Topic Drifts,
Cyber(48), No. 9, September 2018, pp. 2697-2711.
IEEE DOI 1809
learning (artificial intelligence), pattern classification, pattern clustering, semantic networks, text analysis, Web sites, topic drifting BibRef

Kuzu, R.S.[Ridvan Salih], Salah, A.A.[Albert Ali],
Chat biometrics,
IET-Bio(7), No. 5, September 2018, pp. 454-466.
DOI Link 1809
BibRef

Yang, Z., Huang, Y., Zhang, Y.,
A Fast and Efficient Text Steganalysis Method,
SPLetters(26), No. 4, April 2019, pp. 627-631.
IEEE DOI 1903
Correlation, Semantics, Feature extraction, Training, Statistical distributions, Dictionaries, Neural networks, word correlation BibRef

Lee, H.G.[Hyeon-Gu], Park, G.[Geonwoo], Kim, H.[Harksoo],
Effective integration of morphological analysis and named entity recognition based on a recurrent neural network,
PRL(112), 2018, pp. 361-365.
Elsevier DOI 1809
Morphological analysis, Named entity recognition, Error propagation problem, Integrated neural network model BibRef

Ferry, F.[François], Zouaq, A.[Amal], Gagnon, M.[Michel],
Automatic Identification of Relations in Quebec Heritage Data,
EuroMed18(I:188-199).
Springer DOI 1811
Extract instances of predefined relations between persons and real estates from historical notices in French. BibRef

Hu, X.G.[Xue-Gang], Wang, H.Y.[Hai-Yan], Li, P.P.[Pei-Pei],
Online Biterm Topic Model based short text stream classification using short text expansion and concept drifting detection,
PRL(116), 2018, pp. 187-194.
Elsevier DOI 1812
Short text streams, Classification, Concept drifting, Online BTM BibRef

Karuna, P., Purohit, H., Ganesan, R., Jajodia, S.,
Generating Hard to Comprehend Fake Documents for Defensive Cyber Deception,
IEEE_Int_Sys(33), No. 5, Sep. 2018, pp. 16-25.
IEEE DOI 1901
Sociology, Statistics, Genetic algorithms, Intelligent systems, Frequency measurement, Object recognition, Syntactics BibRef

Palma, D., Atkinson, J.,
Coherence-Based Automatic Essay Assessment,
IEEE_Int_Sys(33), No. 5, Sep. 2018, pp. 26-36.
IEEE DOI 1901
Semantics, Coherence, Feature extraction, Grammar, Intelligent systems, Computational modeling, Measurement, Machine Learning BibRef

Li, Y.H.[Ying-Hao], Pu, Q.[Qiumei], Li, S.H.[Shu-Heng], Zhang, H.[Hong], Wang, X.F.[Xiao-Feng], Yao, H.D.[Hao-Dong], Zhao, L.[Lina],
Machine learning methods for research highlight prediction in biomedical effects of nanomaterial application,
PRL(117), 2019, pp. 111-118.
Elsevier DOI 1901
Machine learning, Text mining, Biomedical effects of nanomaterials, PubMed database BibRef

Kwon, S.[Sunjae], Ko, Y.J.[Young-Joong], Seo, J.Y.[Jung-Yun],
Effective vector representation for the Korean named-entity recognition,
PRL(117), 2019, pp. 52-57.
Elsevier DOI 1901
Korean named-entity recognition, Syllable bigram vector representation, Deep neural network, Natural language processing BibRef

di Felice, P.[Paolino], Iessi, M.[Michele],
A Citizen-Sensing-Based Digital Service for the Analysis of On-Site Post-Earthquake Messages,
IJGI(8), No. 3, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Liu, X.[Xin], Zhou, Y.J.[Yan-Ju], Wang, Z.R.[Zong-Run],
Recognition and extraction of named entities in online medical diagnosis data based on a deep neural network,
JVCIR(60), 2019, pp. 1-15.
Elsevier DOI 1903
Continuous bags of word clusters, Deep neural network, Online medical diagnosis data, Named entities BibRef

Karimzadeh, M.[Morteza], MacEachren, A.M.[Alan M.],
GeoAnnotator: A Collaborative Semi-Automatic Platform for Constructing Geo-Annotated Text Corpora,
IJGI(8), No. 4, 2019, pp. xx-yy.
DOI Link 1905
Text analysis -- locating geo references in text. BibRef

Chi, J.J.[Jin-Jin], Ouyang, J.H.[Ji-Hong], Li, C.C.[Chang-Chun], Dong, X.Y.[Xue-Yang], Li, X.M.[Xi-Ming], Wang, X.H.[Xin-Hua],
Topic representation: Finding more representative words in topic models,
PRL(123), 2019, pp. 53-60.
Elsevier DOI 1906
Topic modeling, Topic representation, Topical word representation, Reranking methodology BibRef

Huang, M.H.[Min-Hua], Haralick, R.M.[Robert M.],
A method for discovering knowledge in texts,
PRL(124), 2019, pp. 21-30.
Elsevier DOI 1906
Probabilistic graphic models, Cliques, Separators, NP chunks, Word senses, Semantic arguments BibRef

Han, X.[Xuehua], Wang, J.[Juanle],
Earthquake Information Extraction and Comparison from Different Sources Based on Web Text,
IJGI(8), No. 6, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Jeszenszky, P.[Péter], Hikosaka, Y.[Yoshinobu], Imamura, S.[Satoshi], Yano, K.[Keiji],
Japanese Lexical Variation Explained by Spatial Contact Patterns,
IJGI(8), No. 9, 2019, pp. xx-yy.
DOI Link 1909
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Suhartono, D.[Derwin], Gema, A.P.[Aryo Pradipta], Winton, S.[Suhendro], David, T.[Theodorus], Fanany, M.I.[Mohamad Ivan], Arymurthy, A.M.[Aniati Murni],
Attention-based argumentation mining,
IJCVR(9), No. 5, 2019, pp. 414-437.
DOI Link 1909
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Liu, Y.P.[Ying-Pei], Li, Y.[Ye], Li, W.X.[Wen-Xiang],
Natural language processing approach for appraisal of passenger satisfaction and service quality of public transportation,
IET-ITS(13), No. 11, November 2019, pp. 1701-1707.
DOI Link 1911
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Zhang, H.W.[Huai-Wen], Qian, S.S.[Sheng-Sheng], Fang, Q.[Quan], Xu, C.S.[Chang-Sheng],
Multi-Modal Meta Multi-Task Learning for Social Media Rumor Detection,
MultMed(24), 2022, pp. 1449-1459.
IEEE DOI 2204
Task analysis, Social networking (online), Feature extraction, Learning systems, Semantics, Media, Blogs, Meta learning, multi-modal, social media BibRef

Wen, J.[Juan], Deng, Y.Q.[Ya-Qian], Wu, J.X.[Jia-Xuan], Liu, X.P.[Xing-Peng], Xue, Y.M.[Yi-Ming],
Lifelong Learning for Text Steganalysis Based on Chronological Task Sequence,
SPLetters(29), 2022, pp. 2412-2416.
IEEE DOI 2212
Task analysis, Feature extraction, Training, Steganography, Social networking (online), Motion pictures, Blogs, catastrophic forgetting BibRef

Katayama, S.[Shin], Aoki, S.[Shunsuke], Yonezawa, T.[Takuro], Okoshi, T.[Tadashi], Nakazawa, J.[Jin], Kawaguchi, N.[Nobuo],
ER-Chat: A Text-to-Text Open-Domain Dialogue Framework for Emotion Regulation,
AffCom(13), No. 4, October 2022, pp. 2229-2237.
IEEE DOI 2212
Regulation, Transformers, Emotion recognition, Task analysis, Decoding, Context modeling, Labeling, Emotion regulation, dialogue generation BibRef

Wang, Z.[Zheye], Lam, N.S.N.[Nina S. N.], Sun, M.X.[Ming-Xuan], Huang, X.[Xiao], Shang, J.[Jin], Zou, L.[Lei], Wu, Y.[Yue], Mihunov, V.V.[Volodymyr V.],
A Machine Learning Approach for Detecting Rescue Requests from Social Media,
IJGI(11), No. 11, 2022, pp. xx-yy.
DOI Link 2212
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Lu, W.P.[Wen-Peng], Wang, R.Y.[Rong-Yao], Wang, S.J.[Shou-Jin], Peng, X.P.[Xue-Ping], Wu, H.[Hao], Zhang, Q.[Qian],
Aspect-Driven User Preference and News Representation Learning for News Recommendation,
ITS(23), No. 12, December 2022, pp. 25297-25307.
IEEE DOI 2212
Recommender systems, Task analysis, Feature extraction, Entertainment industry, Representation learning, Data mining, human-device interface BibRef

Bai, C.Y.[Chong-Yang], Chen, H.P.[Hai-Peng], Kumar, S.[Srijan], Leskovec, J.[Jure], Subrahmanian, V.S.,
M2P2: Multimodal Persuasion Prediction Using Adaptive Fusion,
MultMed(25), 2023, pp. 942-952.
IEEE DOI 2303
Videos, Visualization, Predictive models, TV, Noise measurement, Training, Correlation, Multimodal learning, persuasion, adaptive fusion BibRef

Fu, G.H.[Guang-Hua], Li, B.C.[Ben-Cheng], Yang, Y.S.[Yong-Sheng], Li, C.F.[Chao-Feng],
Re-ranking and TOPSIS-based ensemble feature selection with multi-stage aggregation for text categorization,
PRL(168), 2023, pp. 47-56.
Elsevier DOI 2304
Ensemble feature selection, -ranking, TOPSIS, Feature aggregation, Text classification BibRef

Peng, W.L.[Wan-Li], Wang, T.[Tao], Qian, Z.X.[Zhen-Xing], Li, S.[Sheng], Zhang, X.P.[Xin-Peng],
Cross-Modal Text Steganography Against Synonym Substitution-Based Text Attack,
SPLetters(30), 2023, pp. 299-303.
IEEE DOI 2304
Steganography, Semantics, Security, Feature extraction, Social networking (online), Robustness, Media, Cross-modal, synonym substitution BibRef

Zhang, H.[Hui], Yao, Q.M.[Quan-Ming], Kwok, J.T.[James T.], Bai, X.[Xiang],
Searching a High Performance Feature Extractor for Text Recognition Network,
PAMI(45), No. 5, May 2023, pp. 6231-6246.
IEEE DOI 2304
Feature extraction, Text recognition, Transformers, Training, Convolution, Head, Evolutionary computation, transformer BibRef

Wei, C.W.[Cheng-Wei], Wang, B.[Bin], Kuo, C.C.J.[C.C. Jay],
Synwmd: Syntax-aware word Mover's distance for sentence similarity evaluation,
PRL(170), 2023, pp. 48-55.
Elsevier DOI 2306
Word Mover's distance, Sentence similarity, Syntactic information, Dependency parsing BibRef

Shi, R.[Ruibo], Tao, L.[Lili], Saphal, R.[Rohan], Silavong, F.[Fran], Moran, S.[Sean],
Cv4code: Sourcecode Understanding via Visual Code Representations,
ACCV22(II:291-306).
Springer DOI 2307
BibRef

Silva, W.J.F.[Wagner J. F.], Souza, P.J.C.[Pedro J.C.], Souza, R.M.C.R.[Renata M.C.R.], Cysneiros, F.J.A.[Francisco José A.],
A Clustering Algorithm for Polygonal Data Applied to Scientific Journal Profiles,
PAMI(45), No. 11, November 2023, pp. 13766-13777.
IEEE DOI 2310
BibRef

Cao, R.S.[Rui-Sheng], Chen, L.[Lu], Li, J.[Jieyu], Zhang, H.C.[Han-Chong], Xu, H.S.[Hong-Shen], Zhang, W.Y.[Wang-You], Yu, K.[Kai],
A Heterogeneous Graph to Abstract Syntax Tree Framework for Text-to-SQL,
PAMI(45), No. 11, November 2023, pp. 13796-13813.
IEEE DOI 2310
BibRef

Chen, D.[Danjie], Zheng, Y.[Yan], Ma, L.Q.[Li-Qun], Qin, F.[Fen],
An Ontology-Based Knowledge Representation Method for Typhoon Events from Chinese News Reports,
IJGI(12), No. 9, 2023, pp. 383.
DOI Link 2310
BibRef

Feng, X.[Xuan], Gu, T.L.[Tian-Long], Bao, X.G.[Xu-Guang], Li, L.[Long],
Behavior-Based Ethical Understanding in Chinese Social News,
AffCom(14), No. 3, July 2023, pp. 2349-2360.
IEEE DOI 2310
BibRef

Li, X.D.[Xiao-Dong], Zou, C.X.[Chen-Xin], Wu, P.J.[Pang-Jing], Li, Q.[Qing],
TSSRD: A Topic Sentiment Summarization Framework Based on Reaching Definition,
AffCom(14), No. 3, July 2023, pp. 1716-1730.
IEEE DOI 2310
BibRef

Zhang, H.Y.[Hai-Yang], Jiang, C.[Chao],
Verb-driven machine reading comprehension with dual-graph neural network,
PRL(176), 2023, pp. 223-229.
Elsevier DOI 2312
Logical reasoning, Machine reading comprehension, Attention mechanism, Graph BibRef

He, W.[Wei], Farrahi, K.[Katayoun], Chen, B.[Bin], Peng, B.[Bohua], Villavicencio, A.[Aline],
Representation transfer and data cleaning in multi-views for text simplification,
PRL(177), 2024, pp. 40-46.
Elsevier DOI 2401
Text simplification, Sentence representation, Pre-trained language model, Data cleaning, Decoding BibRef

Li, K.[Kunyan], Kang, C.[Chen],
Deep feature extraction with tri-channel textual feature map for text classification,
PRL(178), 2024, pp. 49-54.
Elsevier DOI 2402
Text classification, Tri-channel feature map, Deep feature extraction, Deep learning BibRef

Park, W.H.[Woo Hyun], Siddiqui, I.F.[Isma Farah], Chakraborty, C.[Chinmay], Qureshi, N.M.F.[Nawab Muhammad Faseeh], Shin, D.R.[Dong Ryeol],
Scarcity-aware spam detection technique for big data ecosystem,
PRL(157), 2022, pp. 67-75.
Elsevier DOI 2205
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Doharey, S.[Shivam], Goswami, H.[Harsh], Rathore, S.S.[Santosh Singh],
Polarity Prediction Using Automatic Semantic Analysis on User Comments,
ICCVMI23(1-6)
IEEE DOI 2403
Support vector machines, Analytical models, Social networking (online), Computational modeling, Deep-Learning techniques BibRef

Mulla, S.[Samina], Shaikh, N.F.[Nuzhat F.],
Weighted Graph Embedding Feature with Bi-Directional Long Short-Term Memory Classifier for Multi-Document Text Summarization,
IJIG(24), No. 2, March 2024, pp. 2450022.
DOI Link 2404
BibRef

Lu, J.W.[Jian-Wei], Wang, G.H.[Guo-Hua], Cai, Y.[Yi], Wu, X.[Xin],
Towards Automated Infographic Authoring From Natural Language Statement With Multiple Proportional Facts,
MultMed(26), 2024, pp. 7101-7113.
IEEE DOI 2405
Data visualization, Task analysis, Data models, Surveys, Semantics, Deep learning, Costs, Infographic, natural language processing, automated infographic authoring BibRef

Li, J.[Jiankai], Wang, Y.H.[Yun-Hong], Li, W.X.[Wei-Xin],
MHRN: A Multimodal Hierarchical Reasoning Network for Topic Detection,
MultMed(26), 2024, pp. 6968-6980.
IEEE DOI 2405
Cognition, Feature extraction, Task analysis, Social networking (online), Semantics, Psychology, Fuses, hierarchical learning BibRef

Stinson, M.[Monique], Mohammadian, A.[Abolfazl],
W2VPCA: A Machine Learning Method for Measuring Attitudes With Natural Language,
ITS(25), No. 7, July 2024, pp. 8063-8075.
IEEE DOI 2407
Surveys, Transportation, Companies, Mathematical models, Data models, Analytical models, Principal component analysis, Attitude, strategy BibRef

Zhu, B.S.[Bing-Shan], Cai, Y.[Yi], Wang, J.[Jiexin],
Graph-Based Multimodal Topic Modeling With Word Relations and Object Relations,
MultMed(26), 2024, pp. 8210-8225.
IEEE DOI 2408
Visualization, Data mining, Social networking (online), Feature extraction, Data models, Context modeling, Blogs, neural variational inference BibRef

Aras, A.C.[Arda Can], Alikasifoglu, T.[Tuna], Koç, A.[Aykut],
Text-RGNNs: Relational Modeling for Heterogeneous Text Graphs,
SPLetters(31), 2024, pp. 1955-1959.
IEEE DOI 2408
Text categorization, Training, Vectors, Data models, Aggregates, Semisupervised learning, Natural language processing, graph convolutional networks (GCNs) BibRef

Wu, K.[Kai], Chen, Z.[Zugang], Wu, X.[Xinqian], Li, G.Q.[Guo-Qing], Li, J.[Jing], Wang, S.H.[Shao-Hua], Wang, H.D.[Hao-Dong], Feng, H.[Hang],
Extracting Geoscientific Dataset Names from the Literature Based on the Hierarchical Temporal Memory Model,
IJGI(13), No. 7, 2024, pp. 260.
DOI Link 2408
BibRef

Zhang, L.C.[Li-Cheng], Wang, Q.[Quan], Xu, B.[Benfeng], Liu, Y.[Yi], Mao, Z.D.[Zhen-Dong],
Curriculum Learning Driven Domain Adaptation for Low-Resource Machine Reading Comprehension,
SPLetters(31), 2024, pp. 2650-2654.
IEEE DOI 2410
Training, Adaptation models, Data models, Task analysis, Computational modeling, Loss measurement, Training data, machine reading comprehension BibRef


Singh, G.[Gagandeep], Mekala, B.[Bhavana], Lakshmi, N.P.S.[Nelluri Pavithra Sai], Rathore, S.S.[Santosh Singh],
Fuzzy Inference-Based Models for Extractive Text Summarization,
ICCVMI23(1-6)
IEEE DOI 2403
Fuzzy logic, Uncertainty, Text analysis, Linguistics, Feature extraction, Natural language processing, Task analysis BibRef

Schwettmann, S.[Sarah], Chowdhury, N.[Neil], Klein, S.[Samuel], Bau, D.[David], Torralba, A.[Antonio],
Multimodal Neurons in Pretrained Text-Only Transformers,
CLVL23(2854-2859)
IEEE DOI 2401
BibRef

Chen, H.[Hao], Zheng, P.[Peng], Wang, X.[Xin], Hu, S.[Shu], Zhu, B.[Bin], Hu, J.R.[Jin-Rong], Wu, X.[Xi], Lyu, S.W.[Si-Wei],
Harnessing the Power of Text-image Contrastive Models for Automatic Detection of Online Misinformation,
WMF23(923-932)
IEEE DOI 2309
BibRef

Jensen, F.H.[Fredrik Håland], Nordberg, O.E.[Oda Elise], Opel, A.[Andy], Nyre, L.[Lars],
Students Take Charge of Climate Communication,
MMMod23(II: 729-735).
Springer DOI 2304
BibRef

Kumar, A.[Ankit], Sarkar, A.[Apurba],
Extractive Text Summarization Using Topological Features,
IWCIA22(105-121).
Springer DOI 2301
BibRef

Li, S.[Shiya], Huang, Z.[Zhuo], Zhao, T.Z.[Tong-Zhou], Zhu, R.[Rui],
An Anti-Air-Weapon-Oriented Knowledge Graph Construction Method,
ICRVC22(286-290)
IEEE DOI 2301
Knowledge engineering, Annotations, Weapons, Semantics, Text categorization, Redundancy, Ontologies, Anti-Air-Weapon, RDF BibRef

Wei, Z.M.[Zhi-Min], Xu, X.W.[Xiao-Wei], Wang, C.L.[Cheng-Lin], Liu, Z.Y.[Zhen-Yu], Xin, P.[Peng], Zhang, W.[Wei],
An Index Construction and Similarity Retrieval Method Based on Sentence-Bert,
ICIVC22(934-938)
IEEE DOI 2301
Design methodology, Computational modeling, Semantics, Distributed databases, Nearest neighbor methods, Search engines, text re-generation BibRef

Shi, J.W.[Jian-Wei], Zheng, K.[Kai], Zhang, Z.H.[Zhi-Hua], Liu, Q.[Qi],
A Named Entity Recognition Method Based on Deep Learning For Chinese Legal Documents,
ICIVC22(65-68)
IEEE DOI 2301
Deep learning, Analytical models, Image recognition, Law, Text recognition, Computational modeling, Information retrieval, legal case BibRef

Piovano, E.[Enrico], Le, D.T.[Dieu-Thu], Chen, B.[Bei], Bradford, M.[Melanie],
Online Adaptive Metrics for Model Evaluation on Non-representative Offline Test Data,
ICPR22(4464-4470)
IEEE DOI 2212
Measurement, Adaptation models, Computational modeling, Text categorization, Production, Machine learning, Data models BibRef

Ennajari, H.[Hafsa], Bouguila, N.[Nizar], Bentahar, J.[Jamal],
Embedded Spherical Topic Models for Supervised Learning,
ICPR22(1650-1656)
IEEE DOI 2212
Manifolds, Adaptation models, Parameter estimation, Supervised learning, Semantics, Predictive models, Metadata BibRef

Raynal, M.[Maxime], Buob, M.O.[Marc-Olivier], Quénot, G.[Georges],
A novel pattern-based edit distance for automatic log parsing,
ICPR22(1236-1242)
IEEE DOI 2212
Parse a text file, like a system log. Biological system modeling, Clustering algorithms, Automata, Data structures, Inference algorithms, Data models, Proposals BibRef

Yin, X.W.[Xun-Wei], Zheng, S.[Shuang], Wang, Q.M.[Quan-Min],
Fine-Grained Chinese Named Entity Recognition Based on RoBERTa-WWM-BiLSTM-CRF Model,
ICIVC21(408-413)
IEEE DOI 2112
Image recognition, Computational modeling, Semantics, Natural language processing, Erbium, fine-grained, Chinese NER, BiL-STM BibRef

Wang, Y.Y.[Yuan-Ying], Xu, F.Y.[Fu-Yong], Wang, R.[Ru], Zhu, Z.F.[Zhen-Fang], Liu, P.[Peiyu], Lu, R.[Ran],
Improving Persona Understanding for Persona-based Dialogue Generation with Diverse Knowledge Selection,
ICPR22(1915-1921)
IEEE DOI 2212
Oral communication, Predictive models, Chatbots, History, Boring, Task analysis BibRef

Bhattacharjee, S.D.[Sreyasee Das], Gokaraju, J.S.A.V.[Jnana Sai Abhishek Varma], Yuan, J.S.[Jun-Song], Kalwa, A.[Abhilash],
Multi-view Knowledge Graph for Explainable Course Content Recommendation in Course Discussion Posts,
ICPR22(2785-2791)
IEEE DOI 2212
Discussion forums, Instruments, Oral communication, Cognition, Task analysis BibRef

Liu, P.P.[Pei-Pei], Li, H.[Hong], Wang, Z.G.[Zuo-Guang], Liu, J.[Jie], Ren, Y.[Yimo], Zhu, H.S.[Hong-Song],
Multi-features based Semantic Augmentation Networks for Named Entity Recognition in Threat Intelligence,
ICPR22(1557-1563)
IEEE DOI 2212
Semantics, Neural networks, Morphology, Linguistics, Feature extraction, Robustness, Data mining, cybersecurity, attention mechanism BibRef

Ishikawa, S.[Shintaro], Sugiura, K.[Komei],
Moment-based Adversarial Training for Embodied Language Comprehension,
ICPR22(4139-4145)
IEEE DOI 2212
Training, Measurement, Perturbation methods, Benchmark testing, Task analysis, Robots BibRef

Zang, S.[Shunan], Zhang, C.[Chuang], Liu, X.J.[Xiao-Jun], Chen, X.J.[Xiao-Jun], Zhang, P.[Peng], Liu, J.[Jie],
NEWSFARM: A Large-Scale Chinese Corpus of Long News Summarization,
ICPR22(2260-2272)
IEEE DOI 2212
Measurement, Data centers, Benchmark testing, Information filters, Natural language processing, Cleaning BibRef

He, Z.F.[Zong-Feng], Wang, L.S.[Li-Song], Sheng, T.Y.[Tian-Ye], Sun, M.J.[Ming-Jie], Liu, L.[Liang],
MLSAN: Mixed-Lattice Self-Attention Network for Chinese Named Entity Recognition,
ICPR22(1436-1442)
IEEE DOI 2212
Correlation, Design methodology, Semantics, Bit error rate, Lattices, Natural language processing BibRef

Zhang, L.[Lei], Song, X.Q.[Xue-Qiang], Zhao, X.M.[Xiao-Ming], Fang, Y.W.[Yu-Wei], Li, D.[Dong], Wang, H.Z.[Hai-Zhou],
GAIM: Graph-aware Feature Interactional Model for Spam Movie Review Detection,
ICPR22(621-628)
IEEE DOI 2212
Performance evaluation, Industries, Publishing, Multilayer perceptrons, Motion pictures, Feature extraction, Encoding BibRef

Zou, B.[Beiji], Chen, Z.[Zhi], Zhu, C.Z.[Cheng-Zhang], Xiao, L.[Ling], Zeng, M.[Meng],
Entity-level Attention Pooling and Information Gating for Document-level Relation Extraction,
ICPR22(1407-1413)
IEEE DOI 2212
Benchmark testing, Data mining, Task analysis, Tuning BibRef

Maity, K.[Krishanu], Saha, S.[Sriparna], Bhattacharyya, P.[Pushpak],
Cyberbullying Detection in Code-Mixed Languages: Dataset and Techniques,
ICPR22(1692-1698)
IEEE DOI 2212
Bit error rate, Cyberbullying, Switches, Benchmark testing, Robustness, Data models, Cyberbullying, MuRIL-BERT BibRef

Wang, K.[Kunze], Han, S.C.[Soyeon Caren], Poon, J.[Josiah],
InducT-GCN: Inductive Graph Convolutional Networks for Text Classification,
ICPR22(1243-1249)
IEEE DOI 2212
Training, Convolutional codes, Computational modeling, Scalability, Text categorization, Benchmark testing, Graph neural networks BibRef

Demirtas, M.A.[Mehmet Arif], Oral, B.[Berke], Akpinar, M.Y.[Mehmet Yasin], Deniz, O.[Onur],
Semantic Parsing of Interpage Relations,
ICPR22(1579-1585)
IEEE DOI 2212
Training, Visualization, International trade, Text analysis, Semantics, Feature extraction, Multitasking, semantic parsing, document understanding BibRef

Ozcan, A.[Alper], Emiral, B.[Bilgehan], Cetin, A.B.[Ayse Betul],
Deep Hotel Recommender System Using Aspect-based Sentiment Analysis of Users' Reviews,
ICPR22(3090-3096)
IEEE DOI 2212
Deep learning, Sentiment analysis, Analytical models, Text analysis, Collaborative filtering, Neural networks, Search engines BibRef

Alambo, A.[Amanuel], Banerjee, T.[Tanvi], Thirunarayan, K.[Krishnaprasad], Raymer, M.[Michael],
Entity-Driven Fact-Aware Abstractive Summarization of Biomedical Literature,
ICPR22(613-620)
IEEE DOI 2212
Training, Measurement, Biological system modeling, Semantics, Knowledge based systems, Natural languages, Benchmark testing, Knowledge-enhanced Natural Language Generation BibRef

Zhou, L.[Linna], Liao, D.[Derui],
Information Hiding Based on Typing Errors,
IWDW19(221-230).
Springer DOI 2003
BibRef

Shimomoto, E.K., Souza, L.S., Gatto, B.B., Fukui, K.,
News2meme: An Automatic Content Generator from News Based on Word Subspaces from Text and Image,
MVA19(1-6)
DOI Link 1806
convolutional neural nets, image retrieval, Internet, natural language processing, text analysis, catchphrases, Receivers BibRef

Ventrella, A.V., Grieco, L.A., Piro, G.,
Information-Centric networking in environmental monitoring: An overview on publish-subscribe implementations,
AVSS17(1-6)
IEEE DOI 1806
Internet, Internet of Things, electronic data interchange, environmental monitoring (geophysics), Routing protocols BibRef

Mazloom, M.[Masoud], Pappi, I.[Iliana], Worring, M.[Marcel],
Category Specific Post Popularity Prediction,
MMMod18(I:594-607).
Springer DOI 1802
BibRef

Zainol, Z.[Zuraini], Marzukhi, S.[Syahaneim], Nohuddin, P.N.E.[Puteri N. E.], Noormaanshah, W.M.U.[Wan M. U.], Zakaria, O.[Omar],
Document Clustering in Military Explicit Knowledge: A Study on Peacekeeping Documents,
IVIC17(175-184).
Springer DOI 1711
BibRef

Rasid, N.[Nadhirah], Nohuddin, P.N.E.[Puteri N. E.], Alias, H.[Hamidah], Hamzah, I.[Irna], Nordin, A.I.[A. Imran],
Using Data Mining Strategy in Qualitative Research,
IVIC17(100-111).
Springer DOI 1711
Text mining. BibRef

Syed, A.Z.[Afraz Z.], Martinez-Enriquez, A.M., Nazir, A.[Akhzar], Aslam, M.[Muhammad], Basit, R.H.[Rida Hijab],
Mining the Urdu Language-Based Web Content for Opinion Extraction,
MCPR17(244-253).
Springer DOI 1706
BibRef

Sun, Z.Y.[Zheng-Ya], Han, J.[Jiuqi], Hao, H.W.[Hong-Wei],
Structural feature-based event clustering for short text streams,
ICPR16(3252-3257)
IEEE DOI 1705
Adaptation models, Automation, Clustering algorithms, Measurement, Semantics, Standards BibRef

Cote, M., Albu, A.B.,
Layered ground truth: Conveying structural and statistical information for document image analysis and evaluation,
ICPR16(3258-3263)
IEEE DOI 1705
Layout, Performance evaluation, Semantics, Shape, Text analysis, XML, document image dataset, document layout analysis, ground truth, image segmentation, performance evaluation, statistical pattern, structural, pattern BibRef

Sinoara, R.A., Rossi, R.G., Rezende, S.O.,
Semantic role-based representations in text classification,
ICPR16(2313-2318)
IEEE DOI 1705
Companies, Labeling, Proposals, Semantics, Syntactics, Text, mining BibRef

Gali, N., Mariescu-Istodor, R., Fränti, P.,
Similarity measures for title matching,
ICPR16(1548-1553)
IEEE DOI 1705
Biomedical measurement, Computer science, Computers, Frequency measurement, Information retrieval, Ontologies, Weight measurement, information retrieval, similarity measures, title matching, web, mining BibRef

Hurtado, J.[Julio], Mendoza, M.[Marcelo], Ñanculef, R.[Ricardo],
Boosting SpLSA for Text Classification,
CIARP16(142-149).
Springer DOI 1703
BibRef

Su, Y.T.[Yu-Ting], Wang, H.J.[Hui-Jing],
LingoSent: A Platform for Linguistic Aware Sentiment Analysis for Social Media Messages,
MMMod17(I: 452-464).
Springer DOI 1701
BibRef

Saikrishna, V., Dowe, D.L., Ray, S.,
MML inference of Finite State Automata for probabilistic spam detection,
ICAPR15(1-6)
IEEE DOI 1511
data mining BibRef

Eldesouky, B.[Bahaa], Bakry, M.[Menna], Maus, H.[Heiko], Dengel, A.[Andreas],
Supporting early contextualization of textual content in digital documents on the Web,
ICDAR15(1071-1075)
IEEE DOI 1511
BibRef

Ray, A.[Anupama], Rajeswar, S.[Sai], Chaudhury, S.[Santanu],
A hypothesize-and-verify framework for text recognition using deep recurrent neural networks,
ICDAR15(936-940)
IEEE DOI 1511
BibRef
And:
Text recognition using deep BLSTM networks,
ICAPR15(1-6)
IEEE DOI 1511
image classification BibRef

Al-Ashmoery, Y., Messoussi, R.,
Learning analytics system for assessing students' performance quality and text mining in online communication,
ISCV15(1-8)
IEEE DOI 1506
courseware BibRef

Li, C.[Cheng], Rana, S.[Santu], Phung, D.[Dinh], Venkatesh, S.[Svetha],
Regularizing Topic Discovery in EMRs with Side Information by Using Hierarchical Bayesian Models,
ICPR14(1307-1312)
IEEE DOI 1412
Bayes methods. Document, text, analysis. BibRef

Mishra, S.[Sumit], Saha, S.[Sriparna], Mondal, S.[Samrat],
On Validation of Clustering Techniques for Bibliographic Databases,
ICPR14(3150-3155)
IEEE DOI 1412
Clustering algorithms BibRef

Serrano, J.M.B.[José M. Bande], Palancar, J.H.[José Hernández], Cumplido, R.[René],
The Evaluation of Ordered Features for SMS Spam Filtering,
CIARP14(383-390).
Springer DOI 1411
BibRef

Gerdjikov, S., Mihov, S., Nenchev, V.,
Extraction of Spelling Variations from Language Structure for Noisy Text Correction,
ICDAR13(324-328)
IEEE DOI 1312
document image processing BibRef

Marcacini, R.M.[Ricardo M.], Correa, G.N.[Geraldo N.], Rezende, S.O.[Solange O.],
An active learning approach to frequent itemset-based text clustering,
ICPR12(3529-3532).
WWW Link. 1302
BibRef

Wu, M.S.[Meng-Sung], Wang, H.M.[Hsin-Min],
Term relevance dependency model for text classification,
ICPR12(1064-1067).
WWW Link. 1302
BibRef

Zheng, W.B.[Wen-Bin], Qian, Y.T.[Yun-Tao],
Non-negative Sparse Semantic Coding for text categorization,
ICPR12(409-412).
WWW Link. 1302
BibRef

Wagner, H.[Hubert], Dlotko, P.[Pawel], Mrozek, M.[Marian],
Computational Topology in Text Mining,
CTIC12(68-78).
Springer DOI 1206
BibRef

Zhao, Y.H.[Yu-Hang], Zhang, Z.X.[Zhao-Xiang], Wang, Y.H.[Yun-Hong], Liu, J.Y.[Jian-Yun],
Robust mobile spamming detection via graph patterns,
ICPR12(983-986).
WWW Link. 1302
for SMS BibRef

Artigas-Fuentes, F., Gil-Garcia, R., Badia-Contelles, J.M.,
A High-Dimensional Access Method for Approximated Similarity Search in Text Mining,
ICPR10(3155-3158).
IEEE DOI 1008
BibRef

Qiu, B.[Bite], Fang, N.[Ning], Liu, W.Y.[Wen-Yin],
Detect Visual Spoofing in Unicode-Based Text,
ICPR10(1949-1952).
IEEE DOI 1008
BibRef

Saha, S.[Suman], Murthy, C.A., Pal, S.K.[Sankar K.],
Hypertext Classification Using Tensor Space Model and Rough Set Based Ensemble Classifier,
PReMI09(213-218).
Springer DOI 0912
BibRef

Roy, P.[Pinky], Roy, A.[Amrit], Thirani, V.[Vineet],
A New Approach towards Text Filtering,
ICMV09(282-285).
IEEE DOI 0912
BibRef

Ciarelli, P.M.[Patrick Marques], Oliveira, E.[Elias],
An Enhanced Probabilistic Neural Network Approach Applied to Text Classification,
CIARP09(661-668).
Springer DOI 0911
BibRef

Mansjur, D.S.[Dwi Sianto], Wada, T.S.[Ted S.], Juang, B.H.[Biing Hwang],
Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization,
ICDAR09(1086-1090).
IEEE DOI 0907
BibRef

Guernine, T.[Taoufik], Zeroual, K.[Kacem],
A New Fuzzy Hierarchical Classification Based on SVM for Text Categorization,
ICIAR09(865-874).
Springer DOI 0907
BibRef

Lu, L.[Li], Xu, R.[Ran], Ge, F.P.[Feng-Pei], Zhao, Q.W.[Qing-Wei], Yan, Y.H.[Yong-Hong],
Sports Type Determination Based on Keyword Spotting,
CISP09(1-5).
IEEE DOI 0910
BibRef

Dong, J.X.[Jian-Xiong], Suen, C.Y., Krzyzak, A.[Adam],
Effective shrinkage of large multi-class linear SVM models for text categorization,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Gargiulo, F.[Francesco], Sansone, C.[Carlo],
Combining visual and textual features for filtering spam emails,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Tran, T.P.[Tich Phuoc], Tsai, P.[Pohsiang], Jan, T.[Tony],
An adjustable combination of linear regression and modified probabilistic neural network for anti-spam filtering,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Chen, C.L.[Chuan-Liang], Tian, Y.J.[Ying-Jie], Zhang, C.H.[Chun-Hua],
Spam filtering with several novel bayesian classifiers,
ICPR08(1-4).
IEEE DOI 0812
BibRef

You, Q.[Qian], Fang, S.F.[Shiao-Fen], Ebright, P.[Patricia],
Visualizing Unstructured Text Sequences Using Iterative Visual Clustering,
Visual07(275-284).
Springer DOI 0706
BibRef

Shaban, K.[Khaled], Basir, O.[Otman], Kamel, M.[Mohamed],
Document Mining Based on Semantic Understanding of Text,
CIARP06(834-843).
Springer DOI 0611
BibRef

Civera, J.[Jorge], Cubel, E.[Elsa], Vidal, E.[Enrique],
Bilingual Text Classification,
IbPRIA07(I: 265-273).
Springer DOI 0706
BibRef

Civera, J.[Jorge], Cubel, E.[Elsa], Juan, A.[Alfons], Vidal, E.[Enrique],
Different Approaches to Bilingual Text Classification Based on Grammatical Inference Techniques,
IbPRIA05(II:630).
Springer DOI 0509
BibRef

Zhang, J.[Jin], Li, G.[Guang], Freeman, W.J.[Walter J.],
Application of Novel Chaotic Neural Networks to Text Classification Based on PCA,
PSIVT06(1041-1048).
Springer DOI 0612
BibRef

Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Twitter Stream Analysis, Tweets, Texts, SMS, Internet .


Last update:Nov 26, 2024 at 16:40:19