UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2006338


Registration ID:
234507

Page Number

2344-2351

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Title

Sentiment Categorization through Natural Language Processing

Abstract

Sentiment is an attitude, thought, or judgement prompted by feeling. Sentiment Categorization, studies people’s sentiments towards certain units. Sentiment Analysis isn’t an unfamiliar term anymore. Today, smart phones, high speed and affordable 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. Sentiment Categorization involves classifying text as positive or negative towards a certain target. The model proposed here, makes use of a hybrid approach of Natural Language Processing and Machine Learning to achieve an accuracy of 90% for an IMDB movie review dataset. To achieve this accuracy, the system uses methods like: Bag of words model, TF-IDF to calculate the relevance of each term in each sentence, regular expressions to remove punctuations and retain emojis by shifting them to the end of each sentence, tokenization and stemming to break the sentences into tokens and restore all words to their roots, stop word removal to remove words that do not bear any sentiment, and finally the logistic regression algorithm to perform the sentiment categorization into positive and negative.

Key Words

Sentiment Analysis, Opinion Mining, Natural Language Processing, TF-IDF, feature extraction, feature based, stop word removal, tokenization, logistic regression

Cite This Article

"Sentiment Categorization through Natural Language Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.2344-2351, June-2020, Available :http://www.jetir.org/papers/JETIR2006338.pdf

ISSN


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 Categorization through Natural Language Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp2344-2351, June-2020, Available at : http://www.jetir.org/papers/JETIR2006338.pdf

Publication Details

Published Paper ID: JETIR2006338
Registration ID: 234507
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 2344-2351
Country: Gandhinagar, Gujarat, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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