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International Journal of Scientific Development and Research - IJSDR
(An International Open Access Journal)
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2455-2631


Issue: July 2019

Volume 4 | Issue 7

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Paper Title: Understanding Human Sentiments with the help of Sentiment Analysis
Authors Name: Pratik Watwani , Pooja Bhatia
Unique Id: IJSDR1706070
Published In: Volume 2 Issue 6, June-2017
Abstract: Sentiment Analysis is a prominent application in the domain of Natural Language Processing. In most basic words, Sentiment Analysis is utilized to comprehend the sentiments from a single word to thousands of pages of the document, which is conveyed by either one or a huge mass of people. This paper concentrates on sharing in the first place an introduction to Sentiment Analysis; Understanding the need of utilizing sentiment analysis and why it requires a huge amount of consideration. We here attempt to examine about how sentiment analysis can be performed and utilized by any organization to comprehend the opinions of a single individual or a vast mass of individuals. Without a doubt, with the progressing time new systems, tools, APIs are being produced and overseen. Additionally, we've attempted to exhibit the working of sentiment analysis with a case of a hotel survey, legitimizing the sentiments of the guests about the hotel. With the development in Internet and users, sentiment analysis can be utilized by the organization to decide the nature of their administration being offered, be that as it may, not just this in the up and coming sections of this paper different examples have been talked about which are altogether long far from the business point of view, where it is used.
Keywords: sentiment, sentiment analysis, natural language, natural language processing, NLTK.
Cite Article: "Understanding Human Sentiments with the help of Sentiment Analysis ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 6, page no.458 - 465, June-2017, Available :http://www.ijsdr.org/papers/IJSDR1706070.pdf
Downloads: 0001367
Publication Details: Published Paper ID: IJSDR1706070
Registration ID:170564
Published In: Volume 2 Issue 6, June-2017
DOI (Digital Object Identifier): http://doi.one/10.1712/ijsdr.17012
Page No: 458 - 465
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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