Semantic Analysis Of Social Media And Associated Psychotic Behavior

2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD)(2017)

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摘要
From the past few decades a large proportion of our daily lives are being consumed by the social media, we must keep our social networking sites updated at all the times, as they have become the primary source of interaction for us. Similarly, in the field of technology, detection of emotions from the data obtained through some social networking sites is becoming quite popular. With the advancement in technology social network users experience numerous problems i.e. depression, suicide commitment, and psychotic behavior especially young adults who excessively use the social networking sites. Due to its unique features and excessive use by the young adults social networks are very appropriate platforms for psychological analysis. Today, roughly nine-in-ten American adults use the internet. In this paper, we have discussed steps involved in classification process with detailed. Moreover, we have performed the comparison of different classifiers with respect to their methodologies and attained results of state-of-the art approaches are presented effectively.
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关键词
social media, Sentiment Analysis, depression, emotions, Psychotic behavior
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