Sentiment Categorization through Natural Language Processing : A Survey

Authors

  • Jyovita Christi  Information Technology Department, Gujarat Technological University, L.J. Institute of Engineering and Technology, Ahmedabad, Gujarat, India
  • Prof. Gayatri Jain  Information Technology Department, Gujarat Technological University, L.J. Institute of Engineering and Technology, Ahmedabad, Gujarat, India

DOI:

https://doi.org//10.32628/IJSRSET196626

Keywords:

Sentiment Analysis, Categorization, Opinion Mining, Natural Language Processing, POS tagging, Aspects, Features

Abstract

Sentiment is an attitude, thought, or judgment prompted by feeling. Sentiment analysis, which is also known as opinion mining, studies people’s sentiments towards certain entities. Sentiment Analysis isn’t an unfamiliar term anymore. Today, smart phones, high speed Internet and various forums and social networks, have made it very common for people to give voice to their opinions. Therefore, a lot of textual data is available in various forms where people express their opinions. Analysing this data to know the underlying sentiment behind it has also become quite popular these days. Various techniques and applications have been created in the past and even today to perform sentiment analysis. This paper contributes towards understanding some of the modern techniques and in knowing which technique to use under what circumstances. It also studies feature extraction which is an important aspect of sentiment analysis. Feature extraction allows us to identify the features in the given text and analyse the sentiment for each feature.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2019-12-30

Issue

Volume 6, Issue 6, November-December-2019

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Jyovita Christi, Prof. Gayatri Jain, " Sentiment Categorization through Natural Language Processing : A Survey, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 6, Issue 6, pp.104-107, November-December-2019. Available at doi : https://doi.org/10.32628/IJSRSET196626