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Published in:

Volume 5 Issue 8
August-2018
eISSN: 2349-5162

Unique Identifier

JETIR1808799

Page Number

338-343

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Title

Prediction Of Socio Economic Status Using Aspect Based Learning

ISSN

2349-5162

Cite This Article

"Prediction Of Socio Economic Status Using Aspect Based Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.338-343, August-2018, Available :http://www.jetir.org/papers/JETIR1808799.pdf

Abstract

Sentiment Analysis is the method of figuring out and categorizing critiques expressed in a bit of textual content, particularly as a way to decide whether the writer's mindset towards a specific subject matter or product is fantastic, bad, or impartial. With the increasing use of micro blogging websites which include twitter, facebook and different social media, each day a whole lot of critiques are being made available on-line. These opinions may be of a product, film or it is able to be an unbiased statement describing a state of affairs. Sentiment analysis is as a result used to classify those statements as a effective one or a poor one. There are various blessings of Sentiment Analysis. It makes the person privy to the numerous tremendous and terrible capabilities of any product. It enables the users in powerful choice making. Furthermore, SA enables agencies to seek feedback from these evaluations and alleviate their products/services anywhere essential. This research work design a framework for analysis the tweets related to multiple social –economic factor

Key Words

sentiment analysis, twitter, tweets, aspect based learning, machine learning

Cite This Article

"Prediction Of Socio Economic Status Using Aspect Based Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp338-343, August-2018, Available at : http://www.jetir.org/papers/JETIR1808799.pdf

Publication Details

Published Paper ID: JETIR1808799
Registration ID: 187341
Published In: Volume 5 | Issue 8 | Year August-2018
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.18328
Page No: 338-343
ISSN Number: 2349-5162

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Cite This Article

"Prediction Of Socio Economic Status Using Aspect Based Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp338-343, August-2018, Available at : http://www.jetir.org/papers/JETIR1808799.pdf




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