Sentiment Analysis from Depression-Related User-Generated Contents from Social Media

2021 8th International Conference on Computer and Communication Engineering (ICCCE)(2021)

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摘要
In this paper, we try to detect the sentiment levels such as positive, negative and neutral sentiments from depression related posts and comments generated in social media platforms. Social media platforms such as Facebook, Twitter are not only used for communication or building networks among connections, but also are getting useful for supporting needy peoples who are on special need or care in ...
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关键词
Support vector machines,Sentiment analysis,Machine learning algorithms,Social networking (online),Blogs,User-generated content,Linguistics
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