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Extracting and Summarizing Situational Information from the Twitter Social Media during Disasters.

, , , and . TWEB, 12 (3): 17:1-17:35 (2018)

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Characterizing and Countering Communal Microblogs During Disaster Events., , , and . IEEE Trans. Comput. Social Systems, 5 (2): 403-417 (2018)Stance Detection in Web and Social Media: A Comparative Study., , , , and . CLEF, volume 11696 of Lecture Notes in Computer Science, page 75-87. Springer, (2019)Identifying Multi-dimensional Information from Microblogs During Epidemics., , , , , , and . COMAD/CODS, page 224-230. ACM, (2019)Functions of Code-Switching in Tweets: An Annotation Framework and Some Initial Experiments., , , , and . LREC, European Language Resources Association (ELRA), (2016)Extracting situational awareness from microblogs during disaster events., , and . COMSNETS, page 1-6. IEEE, (2015)Identifying and Analyzing Different Aspects of English-Hindi Code-Switching in Twitter., , , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 18 (3): 29:1-29:28 (2019)Understanding Language Preference for Expression of Opinion and Sentiment: What do Hindi-English Speakers do on Twitter?, , , , , and . EMNLP, page 1131-1141. The Association for Computational Linguistics, (2016)MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs., , , , , , and . WSDM, page 755-763. ACM, (2022)Extracting and Summarizing Situational Information from the Twitter Social Media during Disasters., , , and . TWEB, 12 (3): 17:1-17:35 (2018)Classifying and Summarizing Information from Microblogs During Epidemics., , , and . Information Systems Frontiers, 20 (5): 933-948 (2018)