Sentiment Analysis on Business Data using Machine Learning

G. R. Usha; L. Dharmanna

doi:10.1109/ICSTCEE54422.2021.9708593

Sentiment Analysis on Business Data using Machine Learning

G. R. Usha
, L. Dharmanna

School of Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

Sentiment Analysis, also known as Opinion Mining, is the systematic identification, extraction, quantification, and study of affective states and subjective information using natural language processing and text analysis. For applications ranging from marketing to customer service, sentiment analysis is commonly used on reviews and survey answers, online and social media, and healthcare materials.The aim of this study is to determine the accuracy of the various algorithms for sentiment analysis of product reviews. For this study, 4,444 online product reviews were received from an e-commerce site.

Original language	English
Title of host publication	2021 2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665482974
DOIs	https://doi.org/10.1109/ICSTCEE54422.2021.9708593
Publication status	Published - 2021
Event	2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021 - Bengaluru, India Duration: 16-12-2021 → 17-12-2021

Publication series

Name	2021 2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021 - Proceedings

Conference

Conference	2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021
Country/Territory	India
City	Bengaluru
Period	16-12-21 → 17-12-21

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Electrical and Electronic Engineering
Computer Science Applications

Access to Document

10.1109/ICSTCEE54422.2021.9708593

Cite this

Usha, G. R., & Dharmanna, L. (2021). Sentiment Analysis on Business Data using Machine Learning. In 2021 2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021 - Proceedings (2021 2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSTCEE54422.2021.9708593

Usha, G. R. ; Dharmanna, L. / Sentiment Analysis on Business Data using Machine Learning. 2021 2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021 - Proceedings).

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title = "Sentiment Analysis on Business Data using Machine Learning",

abstract = "Sentiment Analysis, also known as Opinion Mining, is the systematic identification, extraction, quantification, and study of affective states and subjective information using natural language processing and text analysis. For applications ranging from marketing to customer service, sentiment analysis is commonly used on reviews and survey answers, online and social media, and healthcare materials.The aim of this study is to determine the accuracy of the various algorithms for sentiment analysis of product reviews. For this study, 4,444 online product reviews were received from an e-commerce site.",

author = "Usha, \{G. R.\} and L. Dharmanna",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021 ; Conference date: 16-12-2021 Through 17-12-2021",

year = "2021",

doi = "10.1109/ICSTCEE54422.2021.9708593",

language = "English",

series = "2021 2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2021 2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021 - Proceedings",

address = "United States",

}

Usha, GR & Dharmanna, L 2021, Sentiment Analysis on Business Data using Machine Learning. in 2021 2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021 - Proceedings. 2021 2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021, Bengaluru, India, 16-12-21. https://doi.org/10.1109/ICSTCEE54422.2021.9708593

Sentiment Analysis on Business Data using Machine Learning. / Usha, G. R.; Dharmanna, L.
2021 2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Sentiment Analysis on Business Data using Machine Learning

AU - Usha, G. R.

AU - Dharmanna, L.

PY - 2021

Y1 - 2021

N2 - Sentiment Analysis, also known as Opinion Mining, is the systematic identification, extraction, quantification, and study of affective states and subjective information using natural language processing and text analysis. For applications ranging from marketing to customer service, sentiment analysis is commonly used on reviews and survey answers, online and social media, and healthcare materials.The aim of this study is to determine the accuracy of the various algorithms for sentiment analysis of product reviews. For this study, 4,444 online product reviews were received from an e-commerce site.

AB - Sentiment Analysis, also known as Opinion Mining, is the systematic identification, extraction, quantification, and study of affective states and subjective information using natural language processing and text analysis. For applications ranging from marketing to customer service, sentiment analysis is commonly used on reviews and survey answers, online and social media, and healthcare materials.The aim of this study is to determine the accuracy of the various algorithms for sentiment analysis of product reviews. For this study, 4,444 online product reviews were received from an e-commerce site.

UR - https://www.scopus.com/pages/publications/85125704315

UR - https://www.scopus.com/pages/publications/85125704315#tab=citedBy

U2 - 10.1109/ICSTCEE54422.2021.9708593

DO - 10.1109/ICSTCEE54422.2021.9708593

M3 - Conference contribution

AN - SCOPUS:85125704315

T3 - 2021 2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021 - Proceedings

BT - 2021 2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021

Y2 - 16 December 2021 through 17 December 2021

ER -

Usha GR, Dharmanna L. Sentiment Analysis on Business Data using Machine Learning. In 2021 2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. (2021 2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021 - Proceedings). doi: 10.1109/ICSTCEE54422.2021.9708593

Sentiment Analysis on Business Data using Machine Learning

Abstract

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All Science Journal Classification (ASJC) codes

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