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MIDAS: Mental illness detection and analysis via social media.

, , , and . ASONAM, page 1418-1421. IEEE Computer Society, (2016)

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Clustering Social News Based on User Affection., , and . TAAI, page 1-4. IEEE Computer Society, (2017)A Dynamic Influence Keyword Model for Identifying Implicit User Interests on Social Networks., , and . ASONAM, page 1160-1163. ACM, (2017)Unsupervised Graph-Based Patterns Extraction for Emotion Classification., , and . ASONAM, page 336-341. ACM, (2015)MIDAS: Mental illness detection and analysis via social media., , , and . ASONAM, page 1418-1421. IEEE Computer Society, (2016)Subconscious Crowdsourcing: A feasible data collection mechanism for mental disorder detection on social media., , and . ASONAM, page 374-379. IEEE Computer Society, (2016)CARER: Contextualized Affect Representations for Emotion Recognition., , , , and . EMNLP, page 3687-3697. Association for Computational Linguistics, (2018)DeepEmo: Learning and Enriching Pattern-Based Emotion Representations., , and . CoRR, (2018)EmoViz: Mining the World's Interest through Emotion Analysis., , and . ASONAM, page 753-756. ACM, (2015)Concept-based event identification from social streams using evolving social graph sequences., , , , , , , , and . Social Netw. Analys. Mining, 5 (1): 30:1-30:16 (2015)Unsupervised graph-based pattern extraction for multilingual emotion classification., , and . Social Netw. Analys. Mining, 6 (1): 92:1-92:21 (2016)