UGC Approved Journal no 63975(19)

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Published in:

Volume 7 Issue 11
November-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2011265


Registration ID:
303473

Page Number

932-938

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Title

SENTIMENT ANALYSIS ON BANGLA YOUTUBE COMMENTS USING MACHINE LEARNING TECHNIQUES

Abstract

Sentiment Analysis (SA) is an opinion mining study analysing people’s opinions, sentiments, evaluations and appraisals towards Societal entities such as products, services, individuals, organizations, events, etc. Of late, most of the research works on SA in natural language processing (NLP) are focused on English language. However, it is noted that Bangla language does not have a proper dataset that is both large and standard. As a result, recent research works with Bangla language in SA have fallen short to produce results that can be both comparable to works done by others in other languages and reusable for further prospective research. In this work, a substantial textual dataset of both Bangla and Romanized Bangla texts have been provided which is first of this kind and post-processed, multiple validated, and ready for SA implementation and experiments. Further, in this project scraping video information from YouTube and validate the data samples into one of three categories: positive (1), negative (0) and neutral. In this work used real-time analytics, simply means that data is analyzed right after data becomes available. Real-Time Analytics can produce insights without any delay

Key Words

Web-scraping; Bangla language; Romanized Bangla; Sentiment Analysis; Text blob

Cite This Article

"SENTIMENT ANALYSIS ON BANGLA YOUTUBE COMMENTS USING MACHINE LEARNING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 11, page no.932-938, November-2020, Available :http://www.jetir.org/papers/JETIR2011265.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"SENTIMENT ANALYSIS ON BANGLA YOUTUBE COMMENTS USING MACHINE LEARNING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 11, page no. pp932-938, November-2020, Available at : http://www.jetir.org/papers/JETIR2011265.pdf

Publication Details

Published Paper ID: JETIR2011265
Registration ID: 303473
Published In: Volume 7 | Issue 11 | Year November-2020
DOI (Digital Object Identifier):
Page No: 932-938
Country: visakhapatnam, AP, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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