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.L.[Dong-Ling],
Zhang, C.H.[Chun-Hong],
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
BibRef
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
BibRef
Cai, Z.J.[Zi-Jing],
Zhang, H.[Hua],
Zhan, P.Q.[Pei-Qian],
Jia, X.H.[Xiao-Hui],
Yan, Y.J.[Yong-Jian],
Song, X.[Xiawen],
Xie, B.[Bo],
Multi-schema prompting powered token-feature woven attention network
for short text classification,
PR(156), 2024, pp. 110782.
Elsevier DOI Code:
WWW Link.
2408
Short text classification, Self-attention mechanism,
Token-feature woven attention, Prompt learning, Machine reading comprehension
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 .