A Recommendation System For Status Suggestion Using Sentiment Analysis With Social Media
Vishakha N. Gandha,  Prof. N. J. Rola
Now a day’s sentimental analysis has become one of the greatest innovation and efficient technique of information and web data analysis. Sentimental analysis refers to a classification problem where main focus is to predict the polarity of words and then categorize them into positive, negative and neutral feelings with the aim to identifying attitude and opinions that are expressed in any form or language. Proposed Recommendation System will analyze sentence and emoticon expressed and will discover proper mood based on which it will generate appropriate Status Suggestion which helps user in great way while expressing his/her emotions, E.g. If user has expressed Cool mood of emotion then proposed system will provide list of popular Status of Cool Emotion, that can be useful for user to post it as by its Emotion. This way the proposed system targets user’s original behavior over social media. Also it can be useful as in field of marketing application as well as behavioral application too.
Keywords- Text Classification, Sentiment Analysis, Social Media, Emotional Words, Emoticons, Recommendation System.
Cite this Article
Vishakha N. Gandha,  Prof. N. J. Rola,   "A Recommendation System For Status Suggestion Using Sentiment Analysis With Social Media"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 2, pp.1130-1133, May 2016, Available at :http://www.ijedr.org/papers/IJEDR1602197.pdf