Powerful Blend of Big Data and Natural Language Processing

Authors

  • Pranjali Nikam, Nikita Munot, Amit Kadam, Vijendra Kadam

DOI:

https://doi.org/10.17762/msea.v67i1.2628

Abstract

Due to advancement of technology, use of internet and computers is observed in every business and organization. Thus these business transactions generates large volume of text information. The data gathered through various sectors are in variety of languages and variety of form like images, text etc. This data should be analyzed for growth of business.  Natural Language Processing (NLP) is fast becoming essential to many new business functions like compliance monitoring, BI, and analytics. Consider all the unstructured and semi-structured content that can bring significant insights – queries, email communications, social media, videos, customer reviews, support requests, etc. NLP tools and techniques help businesses process, analyze, and understand all of this data in order to operate effectively and proactively. Composed of internally stored organizational information such as customer and sales information, transaction data, research, as well as external open source information and social media, this big data is largely unstructured and in a state of constant growth. Natural language processing (NLP) of big data is the next great opportunity. The paper discusses about the use of integrating NLP and big data and its applications.

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Published

2018-12-31

How to Cite

Vijendra Kadam, P. N. N. M. A. K. . (2018). Powerful Blend of Big Data and Natural Language Processing. Mathematical Statistician and Engineering Applications, 67(1), 16–21. https://doi.org/10.17762/msea.v67i1.2628

Issue

Section

Articles