Sentiment Analysis of Public Expressions in Hindi Language on Media Platform

Suraj Prasad Keshri; Dr. Neelam Sahu

Sentiment Analysis of Public Expressions in Hindi Language on Media Platform

Suraj Prasad Keshri * §

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Dr. Neelam Sahu

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§ DR.C.V.RAMAN UNIVERSITY

Sentiment Analysis of Public Expressions in Hindi Language on Media Platform

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CSTC1805

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Abstract

Nowadays people are actively involved in commenting and reviewing on social networking websites and other website like shopping website, news website etc. large number of people share everyday a large number of user data is collected, their opinion on the web. Users also find it trivial to read all the reviews and then arrived at the decision. It would be better if there were reviews some are categorized into categories so that the user has ease of reading. Sentence analysis is a natural language processing (NLP) function that measures information from various textual forms such as blogs and news are classified as positive, negative, or neutral based on their polarity But for the past few years, user content in Hindi language is also growing rapidly on the web. Therefore mining in Hindi language is also very important. A Hindi language sentence system is proposed in this research paper. The system classifies reviews as positive, negative and Neutral to Hindi language. Negativity is also control in this research system. Experimental results by experiment the review of films shows the effectiveness of the system.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Suraj Keshri, Dr. Sahu. 2022. "Sentiment Analysis of Public Expressions in Hindi Language on Media Platform". Global Journal of Computer Science and Technology, Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 21 (GJCST Volume 21 Issue H3).

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GJCST Volume 21 Issue H3

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-H Classification I.1.1

Submission ReceivedJune 14, 2021
Peer Review Double Blind
Handling Editor
Accepted July 3, 2021
Published July 15, 2021

Version of record

v1.2

Issue date

January 15, 2022

Language

English

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