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个人简介
Arjun’s addition enhances the department’s growing research strength in data sciences and big-data analytics. His research spans areas such as Bayesian inference, statistical data mining, machine learning, natural language processing, and social and information sciences with a particular emphasis on solving big-data problems in social media and on the web.
His works have addressed a wide variety of social computing problems including (1) modeling opinion spam, deception and user behaviors; (2) fine-grained sentiment analysis; (3) modeling social conversations; and (4) knowledge induction in graphical models for aspect extraction.
His works have addressed a wide variety of social computing problems including (1) modeling opinion spam, deception and user behaviors; (2) fine-grained sentiment analysis; (3) modeling social conversations; and (4) knowledge induction in graphical models for aspect extraction.
研究兴趣
论文共 90 篇作者统计合作学者相似作者
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RANLPpp.1066-1075, (2023)
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RANLPpp.1076-1084, (2023)
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34TH ACM CONFERENCE ON HYPERTEXT AND SOCIAL MEDIA, HT 2023 (2023): 1-10
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