Data Analysis: Opinion Mining and Sentiment Analysis of Opinionated Unstructured Data

Abstract

With the evolution of technology, there is also a huge increase in unstructured data. Now a day’s social media is an obvious source of current opinions and reviews and to extract the valuable suggestions on the basis of comments and opinions given on social network is very important. This paper includes data analysis and data mining with a special emphasis on Opinion mining and sentiment analysis. It is one of the most vigorous research areas in natural language processing and is also widely studied in areas like Web mining, and text mining. This paper tackles a comprehensive overview of last update in this field. For the very first time in human history, we now have a huge volume of opinionated data recorded in digital form for analysis. Users not only use the resources but also give their opinions and suggestions in the form of feedback for the improvement of the existing system. It is very important to analyze their opinions and to extract the valuable opinions and suggestions from the comments. This paper proposed algorithms of machine learning and lexicon based approaches to address the issue arised due to lack of analyzing tools.