25.2.9.2 Twitter Stream Analysis, Tweets, Texts, SMS, Internet

Chapter Contents (Back)
Text Analysis. Twitter.
See also Social Medial Processing.

CrisisMMD Dataset,
2017.
WWW Link. Dataset, Disasters. CrisisMMD Dataset. Multimodal Twitter dataset consists of several thousands of manually annotated tweets and images collected during seven major natural disasters including earthquakes, hurricanes, wildfires, and floods that happened in the year 2017.

Choudhury, M.[Monojit], Saraf, R.[Rahul], Jain, V.[Vijit], Mukherjee, A.[Animesh], Sarkar, S.[Sudeshna], Basu, A.[Anupam],
Investigation and modeling of the structure of texting language,
IJDAR(10), No. 3-4, December 2007, pp. 157-174.
Springer DOI 0712
BibRef

Acharyya, S.[Sreangsu], Negi, S.[Sumit], Subramaniam, L.V.[L. Venkata], Roy, S.[Shourya],
Language independent unsupervised learning of short message service dialect,
IJDAR(12), No. 3, September 2009, pp. xx-yy.
Springer DOI 0911
BibRef

Morchid, M.[Mohamed], Dufour, R.[Richard], Bousquet, P.M.[Pierre-Michel], Linarčs, G.[Georges], Torres-Moreno, J.M.[Juan-Manuel],
Feature selection using Principal Component Analysis for massive retweet detection,
PRL(49), No. 1, 2014, pp. 33-39.
Elsevier DOI 1410
Massive retweet BibRef

de Boom, C.[Cedric], van Canneyt, S.[Steven], Demeester, T.[Thomas], Dhoedt, B.[Bart],
Representation learning for very short texts using weighted word embedding aggregation,
PRL(80), No. 1, 2016, pp. 150-156.
Elsevier DOI 1609
Information storage and retrieval BibRef

Capdevila, J.[Joan], Cerquides, J.[Jesús], Nin, J.[Jordi], Torres, J.[Jordi],
Tweet-SCAN: An event discovery technique for geo-located tweets,
PRL(93), No. 1, 2017, pp. 58-68.
Elsevier DOI 1706
Twitter BibRef

Costa, J.[Joana], Silva, C.[Catarina], Antunes, M.[Mário], Ribeiro, B.[Bernardete],
Performance Metrics for Model Fusion in Twitter Data Drifts,
IbPRIA17(13-21).
Springer DOI 1706
BibRef

Boididou, C.[Christina], Papadopoulos, S.[Symeon], Zampoglou, M.[Markos], Apostolidis, L.[Lazaros], Papadopoulou, O.[Olga],
Detection and visualization of misleading content on Twitter,
MultInfoRetr(8), No. 1, March 2018, pp. 71-86.
Springer DOI 1802
BibRef

Alsinet, T.[Teresa], Argelich, J.[Josep], Béjar, R.[Ramón], Fernández, C.[Cčsar], Mateu, C.[Carles], Planes, J.[Jordi],
An argumentative approach for discovering relevant opinions in Twitter with probabilistic valued relationships,
PRL(105), 2018, pp. 191-199.
Elsevier DOI 1804
Argumentation reasoning, Probabilistic valued relationships, Support propagation, Twitter discussions BibRef

Zafra, S.M.J.[S. M. Jimenez], Valdivia, M.T.M.[M. T. Martin], Camara, E.M.[E. Martinez], Lopez, L.A.U.[L. A. Urena],
Studying the Scope of Negation for Spanish Sentiment Analysis on Twitter,
AffCom(10), No. 1, January 2019, pp. 129-141.
IEEE DOI 1903
Twitter, Sentiment analysis, Pragmatics, Syntactics, Computer architecture, Negation scope, sentiment analysis, twitter, statistical analysis BibRef

Akhtar, M.S., Ekbal, A., Narayan, S., Singh, V.,
No, That Never Happened!! Investigating Rumors on Twitter,
IEEE_Int_Sys(33), No. 5, Sep. 2018, pp. 8-15.
IEEE DOI 1901
Feature extraction, Twitter, Task analysis, Support vector machines, Intelligent systems, Training BibRef

Ghaemi, Z.[Zeinab], Farnaghi, M.[Mahdi],
A Varied Density-based Clustering Approach for Event Detection from Heterogeneous Twitter Data,
IJGI(8), No. 2, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Mukherjee, P., Jansen, B.J.,
Analyzing Attitude of Second Screen Social Media Messages,
IEEE_Int_Sys(33), No. 6, November 2018, pp. 27-35.
IEEE DOI 1902
Twitter, Intelligent systems, Position measurement, Data collection, Web search, Social networking (online), panel data regression BibRef

Oro, E., Pizzuti, C., Procopio, N., Ruffolo, M.,
Detecting Topic Authoritative Social Media Users: A Multilayer Network Approach,
MultMed(20), No. 5, May 2018, pp. 1195-1208.
IEEE DOI 1805
Companies, Nonhomogeneous media, Twitter, Web pages, Social media, Twitter, influential users, multilayer networks, tensor decomposition BibRef

Tellez, E.S.[Eric S.], Miranda-Jiménez, S.[Sabino], Graff, M.[Mario], Moctezuma, D.[Daniela], Suárez, R.R.[Ranyart R.], Siordia, O.S.[Oscar S.],
A simple approach to multilingual polarity classification in Twitter,
PRL(94), No. 1, 2017, pp. 68-74.
Elsevier DOI 1708
Multilingual, sentiment, analysis BibRef

Li, Y.[Yue], Li, Q.H.[Qing-Hua], Shan, J.[Jie],
Discover Patterns and Mobility of Twitter Users: A Study of Four US College Cities,
IJGI(6), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Abdelhaq, H.[Hamed], Gertz, M.[Michael], Armiti, A.[Ayser],
Efficient online extraction of keywords for localized events in twitter,
GeoInfo(21), No. 2, April 2017, pp. 365-388.
WWW Link. 1702
BibRef

Doulamis, N.D., Doulamis, A.D., Kokkinos, P., Varvarigos, E.M.,
Event Detection in Twitter Microblogging,
Cyber(46), No. 12, December 2016, pp. 2810-2824.
IEEE DOI 1612
Continuous wavelet transforms BibRef

Hua, T.[Ting], Chen, F.[Feng], Zhao, L.[Liang], Lu, C.T.[Chang-Tien], Ramakrishnan, N.[Naren],
Automatic targeted-domain spatiotemporal event detection in twitter,
GeoInfo(20), No. 4, October 2016, pp. 765-795.
Springer DOI 1610
BibRef

Nelson, J.K.[Jonathan K.], Quinn, S.[Sterling], Swedberg, B.[Brian], Chu, W.H.[Wang-Huan], MacEachren, A.M.[Alan M.],
Geovisual Analytics Approach to Exploring Public Political Discourse on Twitter,
IJGI(4), No. 1, 2015, pp. 337-366.
DOI Link 1504
BibRef

Ren, F., Wu, Y.[Ye],
Predicting User-Topic Opinions in Twitter with Social and Topical Context,
AffCom(4), No. 4, October 2013, pp. 412-424.
IEEE DOI 1406
collaborative filtering BibRef

Huang, X., Xu, C.S.[Chang-Sheng], Xiang, L.C.[Lian-Cheng], Sang, J.[Jitao],
Social Relationship Labeling Based on Multimodal Behaviors and Social Interactions,
MultMedMag(25), No. 4, October 2018, pp. 68-78.
IEEE DOI 1901
Twitter, Social network services, Feature extraction, Automation, Data mining BibRef

Aiello, L.M., Petkos, G., Martin, C., Corney, D., Papadopoulos, S., Skraba, R., Goker, A., Kompatsiaris, I., Jaimes, A.,
Sensing Trending Topics in Twitter,
MultMed(15), No. 6, 2013, pp. 1268-1282.
IEEE DOI 1309
Information filtering BibRef

Gao, Y., Zhen, Y., Li, H., Chua, T.S.,
Filtering of Brand-Related Microblogs Using Social-Smooth Multiview Embedding,
MultMed(18), No. 10, October 2016, pp. 2115-2126.
IEEE DOI 1610
information filtering BibRef

Chen, F., Ji, R., Su, J., Cao, D., Gao, Y.,
Predicting Microblog Sentiments via Weakly Supervised Multimodal Deep Learning,
MultMed(20), No. 4, April 2018, pp. 997-1007.
IEEE DOI 1804
Machine learning, Neural networks, Noise measurement, Sentiment analysis, Social network services, Supervised learning, weakly supervised learning BibRef

Huang, Y.Q.[Yu-Qian], Li, Y.[Yue], Shan, J.[Jie],
Spatial-Temporal Event Detection from Geo-Tagged Tweets,
IJGI(7), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Lim, J.[Jeongwoo], Nitta, N.[Naoko], Nakamura, K.[Kazuaki], Babaguchi, N.[Noboru],
Constructing Geographic Dictionary from Streaming Geotagged Tweets,
IJGI(8), No. 5, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Ye, X.Y.[Xin-Yue], Wei, X.B.[Xue-Bin],
A Multi-Dimensional Analysis of El Nińo on Twitter: Spatial, Social, Temporal, and Semantic Perspectives,
IJGI(8), No. 10, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Wei, H.[Hong], Sankaranarayanan, J.[Jagan], Samet, H.[Hanan],
Enhancing local live tweet stream to detect news,
GeoInfo(24), No. 2, April 2020, pp. 411-441.
WWW Link. 2005
BibRef

Gulnerman, A.G.[Ayse Giz], Karaman, H.[Himmet], Pekaslan, D.[Direnc], Bilgi, S.[Serdar],
Citizens' Spatial Footprint on Twitter: Anomaly, Trend and Bias Investigation in Istanbul,
IJGI(9), No. 4, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Almaslukh, A.[Abdulaziz], Magdy, A.[Amr], Aly, A.M.[Ahmed M.], Mokbel, M.F.[Mohamed F.], Elnikety, S.[Sameh], He, Y.X.[Yu-Xiong], Nath, S.[Suman], Aref, W.G.[Walid G.],
Local trend discovery on real-time microblogs with uncertain locations in tight memory environments,
GeoInfo(24), No. 2, April 2020, pp. 301-337.
Springer DOI 2005
BibRef

Gao, W., Li, L., Zhu, X., Wang, Y.,
Detecting Disaster-Related Tweets Via Multimodal Adversarial Neural Network,
MultMedMag(27), No. 4, October 2020, pp. 28-37.
IEEE DOI 2012
Feature extraction, Bit error rate, Social network services, Adversarial machine learning, Neural networks, Multi-modal, BERT BibRef

Gao, Y., Sang, J., Fu, C., Wang, Z., Ren, T., Xu, C.,
Metadata Connector: Exploiting Hashtag and Tag for Cross-OSN Event Search,
MultMed(23), 2021, pp. 510-523.
IEEE DOI 2012
Twitter, Tagging, Videos, YouTube, Flickr, Games, Social media search, cross-OSN application, social multimedia BibRef

Almatar, M.G.[Muhammad G.], Alazmi, H.S.[Huda S.], Li, L.Q.[Liu-Qing], Fox, E.A.[Edward A.],
Applying GIS and Text Mining Methods to Twitter Data to Explore the Spatiotemporal Patterns of Topics of Interest in Kuwait,
IJGI(9), No. 12, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Dubey, G.[Gaurav], Kumar, S.[Santosh], Kumar, S.I.[Sun-Il], Navaney, P.[Pavas],
Extended opinion lexicon and ML-based sentiment analysis of tweets: a novel approach towards accurate classifier,
IJCVR(10), No. 5, 2020, pp. 505-521.
DOI Link 2011
BibRef

Chen, C., Wang, Z., Li, W.,
Tracking Dynamics of Opinion Behaviors with a Content-Based Sequential Opinion Influence Model,
AffCom(11), No. 4, October 2020, pp. 627-639.
IEEE DOI 2011
Predictive models, Computational modeling, Twitter, Recurrent neural networks, Training, Ions, Influence model, sentiment prediction BibRef

Coulter, R., Han, Q., Pan, L., Zhang, J., Xiang, Y.,
Data-Driven Cyber Security in Perspective: Intelligent Traffic Analysis,
Cyber(50), No. 7, July 2020, pp. 3081-3093.
IEEE DOI 2006
Computer crime, Feature extraction, Internet, Data models, Twitter, Cyber security, Internet traffic analysis, machine learning (ML), social spam detection BibRef

Zangerle, E., Chen, C.M., Tsai, M.F., Yang, Y.H.,
Leveraging Affective Hashtags for Ranking Music Recommendations,
AffCom(12), No. 1, January 2021, pp. 78-91.
IEEE DOI 2103
Twitter, Tagging, Music, Task analysis, Recommender systems, Data mining, Emotion in music, emotion regulation, hashtags BibRef

Bruneau, P.[Pierrick], Brangbour, E.[Etienne], Marchand-Maillet, S.[Stéphane], Hostache, R.[Renaud], Chini, M.[Marco], Pelich, R.M.[Ramona-Maria], Matgen, P.[Patrick], Tamisier, T.[Thomas],
Measuring the Impact of Natural Hazards with Citizen Science: The Case of Flooded Area Estimation Using Twitter,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Lu, X.Y.S.[Xiao-Yu Sean], Zhou, M.C.[Meng-Chu], Wu, K.Y.[Ke-Yuan],
A Novel Fuzzy Logic-Based Text Classification Method for Tracking Rare Events on Twitter,
SMCS(51), No. 7, July 2021, pp. 4324-4333.
IEEE DOI 2106
Feature extraction, Twitter, Hurricanes, Fuzzy logic, Tagging, Semantics, Fuzzy logic, social media, text classification, text feature extraction BibRef

Karami, A.[Amir], Kadari, R.R.[Rachana Redd], Panati, L.[Lekha], Nooli, S.P.[Siva Prasad], Bheemreddy, H.[Harshini], Bozorgi, P.[Parisa],
Analysis of Geotagging Behavior: Do Geotagged Users Represent the Twitter Population?,
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Kovács, T.[Tamás], Kovács-Gyori, A.[Anna], Resch, B.[Bernd],
#AllforJan: How Twitter Users in Europe Reacted to the Murder of Ján Kuciak: Revealing Spatiotemporal Patterns through Sentiment Analysis and Topic Modeling,
IJGI(10), No. 9, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Bechini, A.[Alessio], Ducange, P.[Pietro], Marcelloni, F.[Francesco], Renda, A.[Alessandro],
Stance Analysis of Twitter Users: The Case of the Vaccination Topic in Italy,
IEEE_Int_Sys(36), No. 5, September 2021, pp. 131-139.
IEEE DOI 2110
Social networking (online), Blogs, Monitoring, Intelligent systems, Vaccines, Semantics, Automatic Stance Detection, Monitoring Attitude Towards Vaccination BibRef

Oram, E.[Etuari], Dash, P.B.[Pandit Byomakesha], Naik, B.[Bighnaraj], Nayak, J.[Janmenjoy], Vimal, S., Nataraj, S.K.[Sathees Kumar],
Light gradient boosting machine-based phishing webpage detection model using phisher website features of mimic URLs,
PRL(152), 2021, pp. 100-106.
Elsevier DOI 2112
Security, Email phishing, Ensemble learning, Light gradient boosting machine, Exclusive feature bundling, Gradient-based one-side sampling BibRef

Rajaraman, P.V., Prakash, M.,
Intelligent deep learning based bidirectional long short term memory model for automated reply of e-mail client prototype,
PRL(152), 2021, pp. 340-347.
Elsevier DOI 2112
E-mail, Automated response, E-mail client prototype, Deep learning, Intelligent models BibRef

Xu, J.[Jun], Hu, L.[Lei],
Geospatial Semantics Analysis of the Qinghai-Tibetan Plateau Based on Microblog Short Texts,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Hologa, R.[Rafael], Glaser, R.[Rüdiger],
The Societal Echo of Severe Weather Events: Ambient Geospatial Information (AGI) on a Storm Event,
IJGI(10), No. 12, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Petutschnig, A.[Andreas], Albrecht, J.[Jochen], Resch, B.[Bernd], Ramasubramanian, L.[Laxmi], Wright, A.[Aleisha],
Commuter Mobility Patterns in Social Media: Correlating Twitter and LODES Data,
IJGI(11), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Sunitha, D., Patra, R.K.[Raj Kumar], Babu, N.V., Suresh, A., Gupta, S.C.[Suresh Chand],
Twitter sentiment analysis using ensemble based deep learning model towards COVID-19 in India and European countries,
PRL(158), 2022, pp. 164-170.
Elsevier DOI 2205
BibRef

Bibi, M.[Maryum], Abbasi, W.A.[Wajid Arshad], Aziz, W.[Wajid], Khalil, S.[Sundus], Uddin, M.[Mueen], Iwendi, C.[Celestine], Gadekallu, T.R.[Thippa Reddy],
A novel unsupervised ensemble framework using concept-based linguistic methods and machine learning for twitter sentiment analysis,
PRL(158), 2022, pp. 80-86.
Elsevier DOI 2205
Concepts, Clustering, Sentiment analysis, Twitter, Classification BibRef

Häberle, M.[Matthias], Hoffmann, E.J.[Eike Jens], Zhu, X.X.[Xiao Xiang],
Can linguistic features extracted from geo-referenced tweets help building function classification in remote sensing?,
PandRS(188), 2022, pp. 255-268.
Elsevier DOI 2205
Remote sensing, Decision fusion, Building function classification, Deep learning, Word embedding BibRef

Kamila, S.[Sabyasachi], Hasanuzzaman, M.[Mohammad], Ekbal, A.[Asif], Bhattacharyya, P.[Pushpak],
Measuring Temporal Distance Focus From Tweets and Investigating its Association With Psycho-Demographic Attributes,
AffCom(13), No. 2, April 2022, pp. 1086-1097.
IEEE DOI 2206
Psychology, Twitter, Education, Linguistics, Correlation, Decision making, Temporal distance focus, classification, tweets, tweet-level semantics BibRef

Canales, L.[Lea], Daelemans, W.[Walter], Boldrini, E.[Ester], Martínez-Barco, P.[Patricio],
EmoLabel: Semi-Automatic Methodology for Emotion Annotation of Social Media Text,
AffCom(13), No. 2, April 2022, pp. 579-591.
IEEE DOI 2206
Task analysis, Erbium, Manuals, Twitter, Emotion recognition, Data mining, Natural language processing, sentiment analysis, social media text BibRef

Umer, M.[Muhammad], Sadiq, S.[Saima], Karamti, H.[Hanen], Abdulmajid-Eshmawi, A.[Ala'], Nappi, M.[Michele], Usman-Sana, M.[Muhammad], Ashraf, I.[Imran],
ETCNN: Extra Tree and Convolutional Neural Network-based Ensemble Model for COVID-19 Tweets Sentiment Classification,
PRL(164), 2022, pp. 224-231.
Elsevier DOI 2212
Neuroinformatics, COVID-19, Ensemble model, Health informatics, Sentiment analysis BibRef

Zhang, H.K.[Hua-Kui], Cai, Y.[Yi], Ren, H.P.[Hao-Peng], Li, Q.[Qing],
Multimodal Topic Modeling by Exploring Characteristics of Short Text Social Media,
MultMed(25), 2023, pp. 2430-2445.
IEEE DOI 2306
Social networking (online), Visualization, Blogs, Data models, Automobiles, Videos, Correlation, Multimodal, social media, topic models BibRef

Gatta, V.L.[Valerio La], Moscato, V.[Vincenzo], Postiglione, M.[Marco], Sperlí, G.[Giancarlo],
COVID-19 Sentiment Analysis Based on Tweets,
IEEE_Int_Sys(38), No. 3, May 2023, pp. 51-55.
IEEE DOI 2307
COVID-19, Sentiment analysis, Pandemics, Social networking (online), Mood, Blogs, Time measurement BibRef

Choi, K.[Kyuri], Ko, Y.J.[Young-Joong],
Meta-learning with topic-agnostic representations for zero-shot stance detection,
PRL(171), 2023, pp. 15-20.
Elsevier DOI 2306
Zero-shot stance detection, Meta-learning, Adversarial-learning BibRef

Ainapure, B.S.[Bharati S.], Boopathi, M.[Mythili], Kolli, C.S.[Chandra Sekhar], Jackulin, C.,
Deep Ensemble Model for Spam Classification in Twitter via Sentiment Extraction: Bio-Inspiration-Based Classification Model,
IJIG(23), No. 4 2023, pp. 2350034.
DOI Link 2308
BibRef

Tong, L.[Lei], Liu, Z.H.[Zhi-Hua], Jiang, Z.[Zheheng], Zhou, F.X.[Fei-Xiang], Chen, L.[Long], Lyu, J.L.[Jia-Lin], Zhang, X.R.[Xiang-Rong], Zhang, Q.[Qianni], Sadka, A.[Abdul], Wang, Y.[Yinhai], Li, L.[Ling], Zhou, H.Y.[Hui-Yu],
Cost-Sensitive Boosting Pruning Trees for Depression Detection on Twitter,
AffCom(14), No. 3, July 2023, pp. 1898-1911.
IEEE DOI 2310
BibRef

Schoene, A.M.[Annika M], Bojanic, L.[Lana], Nghiem, M.Q.[Minh-Quoc], Hunt, I.M.[Isabelle M], Ananiadou, S.[Sophia],
Classifying Suicide-Related Content and Emotions on Twitter Using Graph Convolutional Neural Networks,
AffCom(14), No. 3, July 2023, pp. 1791-1802.
IEEE DOI 2310
BibRef

Park, W.H.[Woo Hyun], Qureshi, N.M.F.[Nawab Muhammad Faseeh], Shin, D.R.[Dong Ryeol],
An Effective 3D Text Recurrent Voting Generator for Metaverse,
AffCom(14), No. 3, July 2023, pp. 1766-1778.
IEEE DOI 2310
BibRef

Wang, J.[Jing], Yang, S.[Shuo], Zhao, H.[Hui],
Crisis event summary generative model based on hierarchical multimodal fusion,
PR(144), 2023, pp. 109890.
Elsevier DOI 2310
Multimodal summary generation, Unimodal bias, Crisis event, Hierarchy, Dynamic selection BibRef

Ma, D.[Dongling], Zhang, C.[Chunhong], Zhao, L.[Liang], Huang, Q.J.[Qing-Ji], Liu, B.[Baoze],
An Analysis of the Evolution of Public Sentiment and Spatio-Temporal Dynamics Regarding Building Collapse Accidents Based on Sina Weibo Data,
IJGI(12), No. 10, 2023, pp. 388.
DOI Link 2311
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Knoble, C.[Charles], Yu, D.[Danlin],
Bridging the Gap: Analyzing the Relationship between Environmental Justice Awareness on Twitter and Socio-Environmental Factors Using Remote Sensing and Big Data,
RS(15), No. 23, 2023, pp. 5510.
DOI Link 2312
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Sun, X.Q.[Xiao-Qi], Wu, S.C.[Shao-Chun], Liu, Y.[Yue],
GCNs-Based Context-Aware Short Text Similarity Model,
ICPR21(1329-1335)
IEEE DOI 2105
Text mining, Semantics, Syntactics, Natural language processing, Pattern recognition, Task analysis, Context modeling BibRef

Habbat, N., Anoun, H., Hassouni, L.,
Extracting Topics from a TV Channel's Facebook Page Using Contextualized Document Embedding,
SmartCityApp21(245-249).
DOI Link 2201
BibRef

Jony, R.I.[Rabiul Islam], Woodley, A.[Alan], Perrin, D.[Dimitri],
Flood Detection in Social Media Using Multimodal Fusion on Multilingual Dataset,
DICTA21(01-08)
IEEE DOI 2201
Training, Visualization, Social networking (online), Fuses, Digital images, Design methodology, Machine learning BibRef

Jung, S.D.[Summer D.], Claire, S.[Sahej], Fukunaga, J.[Julie], Garcia, J.[Joaquin], Kim, S.[Soh],
Virtual Solutions for Gathering Consumer Feedback on Food: A Literature Review and Analysis,
VAMR21(452-471).
Springer DOI 2108
BibRef

Hernández-Hernández, J.C.[José-Clemente], Mezura-Montes, E.[Efrén], Hoyos-Rivera, G.D.J.[Guillermo-De-Jesús], Rodríguez-López, O.[Omar],
Neuroevolution for Sentiment Analysis in Tweets Written in Mexican Spanish,
MCPR21(101-110).
Springer DOI 2108
BibRef

Gomez, R., Gibert, J., Gomez, L., Karatzas, D.,
Exploring Hate Speech Detection in Multimodal Publications,
WACV20(1459-1467)
IEEE DOI 2006
Visualization, Task analysis, Voice activity detection, Twitter, Feature extraction, Kernel BibRef

Dib, B., Kalloubi, F., Nfaoui, E.H., Boulaalam, A.,
Leveraging topic feature for followee recommendation on Twitter network,
ISCV20(1-6)
IEEE DOI 2011
feature extraction, recommender systems, social networking (online), text analysis, topic feature, Normalization. BibRef

Bharti, S.K.[Santosh Kumar], Babu, K.S.[Korra Sathya], Jena, S.K.[Sanjay Kumar],
Harnessing Online News for Sarcasm Detection in Hindi Tweets,
PReMI17(679-686).
Springer DOI 1711
BibRef

Wang, K., Bansal, M., Frahm, J.M.,
Retweet Wars: Tweet Popularity Prediction via Dynamic Multimodal Regression,
WACV18(1842-1851)
IEEE DOI 1806
learning (artificial intelligence), neural nets, regression analysis, social networking (online), text analysis, Visualization BibRef

Malema, H.K., Musakwa, W.,
Tweets And Facebook Posts, The Novelty Techniques In The Creation Of Origin-destination Models,
ISPRS16(B2: 555-562).
DOI Link 1610
BibRef

Geng, L., Zhang, K., Wei, X., Feng, X.,
Soft Biometrics in Online Social Networks: A Case Study on Twitter User Gender Recognition,
SoftBio17(1-8)
IEEE DOI 1609
biometrics (access control), face recognition, Twitter user gender recognition, hashtag-based TF-IDF, labor-forced methodology, Feature extraction, Image recognition, Tagging, Twitter BibRef

Abdouli, A.E., Hassouni, L., Anoun, H.,
Mining tweets of Moroccan users using the framework Hadoop, NLP, K-means and basemap,
ISCV17(1-7)
IEEE DOI 1710
Clustering algorithms, Distributed databases, File systems, Natural language processing, Twitter, Distributed program, Framework Hadoop, HDFS, K-means, MapReduce, Natural Language Processing, Python Language BibRef

Lin, X.H.[Xia-Hong], Wang, Z.[Zhi], Sun, L.F.[Li-Feng],
MAP: Microblogging Assisted Profiling of TV Shows,
MMMod15(I: 442-453).
Springer DOI 1501
BibRef

Al Abdullatif, A.M., Alsoghayer, R.A., Al Majhad, E.M.,
An algorithm to find the best time to tweet,
ICCVIA15(1-13)
IEEE DOI 1603
social networking (online) BibRef

Yan, M.[Ming], Deng, Z.Y.[Zheng-Yu], Sang, J.[Jitao], Xu, C.S.[Chang-Sheng],
User-Oriented Social Analysis across Social Media Sites,
SBA13(482-490).
Springer DOI 1309
Twitter and youtube data to understand attention to topics. BibRef

Dey, L.[Lipika], Gaonkar, B.[Bhakti],
Discovering regular and consistent behavioral patterns in topical tweeting,
ICPR12(3464-3467).
WWW Link. 1302
BibRef

Li, M.[Min], Park, Y.J.[Young-Ja], Ma, R.[Rui], Huang, H.Y.[He Yuan],
Business email classification using incremental subspace learning,
ICPR12(625-628).
WWW Link. 1302
BibRef

Cheong, M.[Marc], Lee, V.[Vincent],
A Study on Detecting Patterns in Twitter Intra-topic User and Message Clustering,
ICPR10(3125-3128).
IEEE DOI 1008
BibRef

social

Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Watermarks, Watermarking .


Last update:Mar 16, 2024 at 20:36:19