Improved Stance Prediction in a User Similarity Feature Space

Predicting the stance of social media users on a topic can be challenging, particularly for users who never express explicit stances. Earlier work has shown that using users' historical or non-relevant tweets can be used to predict stance. We build on prior work by making use of users' int...

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Vydáno v:	Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 s. 145 - 148
Hlavní autoři:	Darwish, Kareem, Magdy, Walid, Zanouda, Tahar
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	New York, NY, USA ACM 31.07.2017
Edice:	ACM Conferences
Témata:	Computing methodologies Computing methodologies > Artificial intelligence Computing methodologies > Artificial intelligence > Natural language processing Computing methodologies > Artificial intelligence > Natural language processing > Discourse, dialogue and pragmatics Computing methodologies > Artificial intelligence > Natural language processing > Lexical semantics Human-centered computing Human-centered computing > Collaborative and social computing Human-centered computing > Collaborative and social computing > Collaborative and social computing systems and tools Human-centered computing > Collaborative and social computing > Collaborative and social computing systems and tools > Social networking sites Information systems Information systems > Information retrieval Information systems > Information retrieval > Document representation Information systems > Information retrieval > Document representation > Content analysis and feature selection Information systems > Information retrieval > Retrieval tasks and goals Information systems > Information retrieval > Retrieval tasks and goals > Sentiment analysis Information systems > Information systems applications Information systems > Information systems applications > Collaborative and social computing systems and tools Information systems > Information systems applications > Collaborative and social computing systems and tools > Social networking sites Information systems > World Wide Web Information systems > World Wide Web > Web applications Information systems > World Wide Web > Web applications > Social networks
ISBN:	1450349935, 9781450349932
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