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Sentiment Analysis with Machine Learning Techniques and Improved J48 Decision Tree Technique

Sakshi Koli1

Section:Research Paper, Product Type: Journal Paper
Volume-9 , Issue-6 , Page no. 77-82, Jun-2021

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v9i6.7782

Online published on Jun 30, 2021

Copyright © Sakshi Koli . 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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IEEE Style Citation: Sakshi Koli , “Sentiment Analysis with Machine Learning Techniques and Improved J48 Decision Tree Technique,” International Journal of Computer Sciences and Engineering, Vol.9, Issue.6, pp.77-82, 2021.

MLA Style Citation: Sakshi Koli "Sentiment Analysis with Machine Learning Techniques and Improved J48 Decision Tree Technique." International Journal of Computer Sciences and Engineering 9.6 (2021): 77-82.

APA Style Citation: Sakshi Koli , (2021). Sentiment Analysis with Machine Learning Techniques and Improved J48 Decision Tree Technique. International Journal of Computer Sciences and Engineering, 9(6), 77-82.

BibTex Style Citation:
@article{Koli_2021,
author = {Sakshi Koli },
title = {Sentiment Analysis with Machine Learning Techniques and Improved J48 Decision Tree Technique},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2021},
volume = {9},
Issue = {6},
month = {6},
year = {2021},
issn = {2347-2693},
pages = {77-82},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5352},
doi = {https://doi.org/10.26438/ijcse/v9i6.7782}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v9i6.7782}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5352
TI - Sentiment Analysis with Machine Learning Techniques and Improved J48 Decision Tree Technique
T2 - International Journal of Computer Sciences and Engineering
AU - Sakshi Koli
PY - 2021
DA - 2021/06/30
PB - IJCSE, Indore, INDIA
SP - 77-82
IS - 6
VL - 9
SN - 2347-2693
ER -

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Abstract

Last few years the area of social media , e- commerce, social field has seen a large increase in the web world. The product view became the basic need of today’s world . The product reviews channel the customers and help them in making decisions regarding various available products which otherwise would bemuse them. This circumstances opened a new area of research called Opinion Mining and Sentiment Analysis. sentiment analysis is the process of determining the emotion ,feeling, and views of the people towards the piece of text, that comes under the area of blog view, article review , product review, social media buzzing etc. This research paper presents machine learning methods for detecting the sentiment expressed by movie reviews. The semantic point of reference of a review can be positive or negative.

Key-Words / Index Term

Sentiment analysis, sentiment analysis techniques, Experimental result, comparative analysis, conclusion

References

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