A Survey: Sentiment Analysis using EMOTICON with Recommendation System over Social Media

Author (s):

  1. Prof. N. J. Rola, Darshan Institute of Engineering & Technology, Rajkot, Gujarat, INDIA
  2. V. N. Gandha, Darshan Institute of Engineering & Technology, Rajkot, Gujarat, INDIA, vishgandha@gmail.com


Sentimental analysis has become one of the greatest innovation and efficient technique for retrieval 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 psychological behavior over social media that can be useful as in field of marketing application as well as behavioral application too.

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