Sentiment Analysis of Audio Files Using Machine Learning and Textual Classification of Audio Data

Abstract

Sentiment Analysis has an increasing implication in solving Human-Machine collaboration issue. It’s a tough task to be able to know how an individual feels but it seems even worse to recognize these sentiments using a machine. As we all know in today’s world with day-to-day advancement in technologies people are searching for more and more easy and convenient ways to operate, with subsequent growth in the applications of Artificial Intelligence (AI), it now has generated a need to spontaneously identify the sentiments of the person involved in the Human Computer Interaction (HCI). The demand for sentiment analysis is increasing and it now is applied in various parts of industry. This research paper discusses the methods to identify various sentiments from human conversation using textual classification of audio data.