Big Data and Natural Language Processing came together for better information extraction: Text Analytics

Lot of text content is available in a variety of sources such as blogs, emails, social networking sites, forums etc. that can be analyzed to get some useful information. This type of analysis is called text analytics. Text Analysis is related to Natural Language Processing and now Big Data is a voluminous source of unstructured information for Text Analytics. Big Data analysis is moving towards Text Analytics to get more and more from huge collection of data and use that information for better decisions. Text Analytics techniques include summarization, classification, keyword extraction, information visualization, question answering system, deep learning, clustering, link analysis etc. Varieties of fields such as business, finance, opinion analysis, medical analysis, legal analysis etc. are taking benefits from text analytics. This paper discusses various text analytics techniques in detail and concludes with future research scope of text analytics.