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Review on Aspect Based Sentiment Analysis Using Sentence Minimization

M. Likhar1 , S. L. Kasar2

  1. Dept. of Computer Science and Engineering, JNEC (Babasaheb Ambedkar Marathwada University), Aurangabad, India.
  2. Dept. of Computer Science and Engineering, JNEC (Babasaheb Ambedkar Marathwada University), Aurangabad, India.

Correspondence should be addressed to: mplikhar@gmail.com.

Section:Review Paper, Product Type: Journal Paper
Volume-5 , Issue-10 , Page no. 338-341, Oct-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i10.338341

Online published on Oct 30, 2017

Copyright © M. Likhar, S. L. Kasar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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How to Cite this Paper

IEEE Style Citation: M. Likhar, S. L. Kasar, “Review on Aspect Based Sentiment Analysis Using Sentence Minimization,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.10, pp.338-341, 2017.

MLA Style Citation: M. Likhar, S. L. Kasar "Review on Aspect Based Sentiment Analysis Using Sentence Minimization." International Journal of Computer Sciences and Engineering 5.10 (2017): 338-341.

APA Style Citation: M. Likhar, S. L. Kasar, (2017). Review on Aspect Based Sentiment Analysis Using Sentence Minimization. International Journal of Computer Sciences and Engineering, 5(10), 338-341.

BibTex Style Citation:
@article{Likhar_2017,
author = {M. Likhar, S. L. Kasar},
title = {Review on Aspect Based Sentiment Analysis Using Sentence Minimization},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2017},
volume = {5},
Issue = {10},
month = {10},
year = {2017},
issn = {2347-2693},
pages = {338-341},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1525},
doi = {https://doi.org/10.26438/ijcse/v5i10.338341}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i10.338341}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1525
TI - Review on Aspect Based Sentiment Analysis Using Sentence Minimization
T2 - International Journal of Computer Sciences and Engineering
AU - M. Likhar, S. L. Kasar
PY - 2017
DA - 2017/10/30
PB - IJCSE, Indore, INDIA
SP - 338-341
IS - 10
VL - 5
SN - 2347-2693
ER -

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Abstract

The idea behind the sentiment analysis is to determine the sense trailing the response of product, present in a series of words. It assists us to determine the possible approach mention online. To achieve an idea present in the response of reviews, sentiment analysis is quite useful and defines the overview of public opinion behind the social media elements. Natural language is too complex for machine to follow. To instruct the machine regarding all the feelings, culture, slang and innovation are one of the major challenges for developer. Portray the system to realize the affect of tone is even more difficult. Natural language processing plays a vital role for categorizing the words as ‘positive’ or ‘negative, without having the knowledge regarding the context, it becomes very difficult to analyze the sentiment. In basic way feedback shows the better information about what exactly required, this helps to automate the system using natural language processing

Key-Words / Index Term

Sentiment Analysis, Methods of Sentiment Analysis, Minimization methods, Benefits of minimization

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