Anomaly detection through enhanced sentiment analysis on social media data

Anomaly detection in sentiment analysis refers to detecting abnormal opinions, sentiment patterns or special temporal aspects of such patterns in a collection of data. The anomalies detected may be due to sudden sentiment changes hidden in large amounts of text. If these anomalies are undetected or...

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Bibliographic Details
Main Authors: WANG, Zhaoxia, JOO, Victor, TONG, Chuan, XIN, Xin, CHIN, Hoong Chor
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2014
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Online Access:https://ink.library.smu.edu.sg/sis_research/5567
https://ink.library.smu.edu.sg/context/sis_research/article/6570/viewcontent/AnomalyDetection_2014_av.pdf
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Institution: Singapore Management University
Language: English

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