Review of Sentimental Analysis Methods using Lexicon Based Approach

نویسندگان

  • Rahul Rajput
  • Arun Kumar Solanki
چکیده

-In our daily life we take opinion of our friends and are influenced by them in our decision making process. Opinion is the view or judgement about something. With the advent of web 2.0, the number of Social Networking Sites (SNS) has increased manifold. With these has increased the volume of users generated content. Sentiment Analysis (SA) or Opinion Mining (OM) is the computational analysis of public emotions and attitude towards a particular subject. SA is immensely useful in social media monitoring as it allows us to gain an insight of the public opinion behind certain topics. This survey paper tackles a comprehensive overview of ‘Lexicon Based Approach’ and the last update in it. Many recently proposed enhancements, challenges and various SA applications are investigated and presented briefly in this survey. Keywords--Sentiment Analysis, Opinion Mining, Lexicon Based, Semantic, Sentiment Classification

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تاریخ انتشار 2016