Question

What things to consider sentiment classification?

Answer 1

With the evolution of web technology, there is a huge amount of data present in the web for the internet users. These users not only use the available resources in the web, but also give their feedback, thus generating additional useful information. Due to overwhelming amount of user's opinions, views, feedback and suggestions available through the web resources, it's very much essential to explore, analyze and organize their views for better decision making. Opinion Mining or Sentiment Analysis is a Natural Language Processing and Information Extraction task that identifies the user's views or opinions explained in the form of positive, negative or neutral comments and quotes underlying the text. Various supervised or data-driven techniques to Sentiment analysis like Naïve Byes, Maximum Entropy and SVM. For classification use support vector machine (SVM), it performs the sentiment classification task also consider sentiment classification accuracy.
Published in: Inventive Systems and Control (ICISC), 2017 International Conference on
Date of Conference: 19-20 Jan. 2017
Date Added to IEEE Xplore: 16 October 2017