Audio Opinion Mining and Sentiment Analysis of Customer Product or Services Reviews

Abstract

Sentimental analysis evolved over last few decades is only focused on textual sentimental analysis. In Internet era, people are exchanged their opinions publicly. And it is a challenge to understand and identify the context or tone of them. Another problem is that hard to categorize when the context is not given, as they could be tag positive or negative. People can be contradictory in their statements. Most reviews will have both positive and negative comments, which is somewhat manageable by analyzing sentences one at a time. However, with the help of natural language processing and computer we can categorize it. But when peoples are given their opinion in audio format then it is quiet difficult to analyze into sentiments. In this paper, we proposed the audio opinion mining and sentiment analysis of customer products or services reviews which helps to take decision in today’s business world to improve their growth of the business. Customer discrimination and sentiment analysis is performed on customer reviews collected as audio messages on customer products or services. In this paper, we proposed the audio opinion mining and sentiment analysis of customer products or services reviews which helps to take decision in today’s business world to improve their growth of the business. Customer discrimination and sentiment analysis is performed on customer reviews collected as audio messages on customer products or services.