Main Article Content
Abstract
The area of text mining is vast. In simpler terms, it is a process of analyzing the text as a natural language and convert it from totally unstructured format to structured or semi structured format. It will be further utilized to understand the relations between different words and predict some hidden correlation between different components of natural language. Machine learning concepts are used over the field of text analytics and helps to distinguish among different sections of text using statistical modelling. This literature review will be highly focusing on various types of user generated data like data generated over social media, blogs, online user communities, speech to text or big data. This paper will talk about various techniques like supervised and unsupervised machine learning, various tools that can be used to perform text analytics, applications and gaps or limitation within existing research.