文章基本信息

标题：A Content Analysis for User Data in Social Media Using Mood Prediction
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作者：D. Karunkuzhali ; Yashica K ; Hemalatha R 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2018
卷号：7
期号：3
页码：3120
DOI：10.15680/IJIRSET.2018.0703120
出版社：S&S Publications
摘要：Social media plays a major role in helping people affected by natural calamities. In our proposed systemwe implement content analysis for user data using techniques are news feed , mood prediction, deep learning anddomain finding.Our Proposed technique are sharing the information in critical situation like natural defects.By usingthis technique we have to predict our user reaction as sad, angry etc. By this type of prediction we have to one user’slife if it incase he is in critical or any under pressure situation we have to analyse the persons character and prevent himin that situation. These type of techniques also prevent social awareness also with the help of social media likefacebook, twitter etc like that share their critical situation if in that time any one of social welfare people in online thatperson will inform to others in his circle and safe our people who are in under critical problem like floods etc. Twotechnique implement in our project are mentioned above.
关键词：Information seeking; Time Critical; Emergencies in Social Media rise