A Comparative Study on Sentiment Analysis Techniques

Authors

  • Nikhil Kalraiya Infinity Management & Engineering College Sagar (M.P.),RGPV,Bhopal,Sagar (M.P.), India
  • Asst.Prof Sarvesh Rai Infinity Management & Engineering College ,RGPV,Bhopal,Sagar (M.P.), India

Keywords:

Sentiment Analysis, Opinion Mining, Natural Language Processing (NLP), Sentiment Lexicon

Abstract

The fastest growing popularity of E-commerce website, blogs, social Medias, forums, etc. created a new platform where everyone can explore and exchange their views, suggestions, ideas and events about any product or services. This new moment assembled a huge amount of data generated by user on the web. If this data can be draw out and examine properly then it can act as a key factor in decision making. But human extraction of data and examine of this content is an impossible task, because the data is unstructured in nature and it is written in natural language. This condition opened a new area of research called Sentiment Analysis or Opinion Mining. Data mining have extensions as Opinion Mining and Sentiment Analysis; it extracts and examines the unstructured data automatically. The main purpose of this paper is to compare the main concept used in Opinion Mining and Sentiment Analysis, with proposed work.

References

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Published

31-12-2016

How to Cite

Nikhil Kalraiya, & Asst.Prof Sarvesh Rai. (2016). A Comparative Study on Sentiment Analysis Techniques. International Journal for Research Publication and Seminar, 7(9). Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/992

Issue

Vol. 7 No. 9 (2016): Oct - Dec 2016

Section

Original Research Article

License

Copyright (c) 2016 International Journal for Research Publication and Seminar

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