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Reseach Article

Emotion Classification of Restaurant and Laptop Review Dataset: Semeval 2014 Task 4

by D. K. Kirange, Ratnadeep R. Deshmukh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 113 - Number 6
Year of Publication: 2015
Authors: D. K. Kirange, Ratnadeep R. Deshmukh
10.5120/19829-1680

D. K. Kirange, Ratnadeep R. Deshmukh . Emotion Classification of Restaurant and Laptop Review Dataset: Semeval 2014 Task 4. International Journal of Computer Applications. 113, 6 ( March 2015), 17-20. DOI=10.5120/19829-1680

@article{ 10.5120/19829-1680,
author = { D. K. Kirange, Ratnadeep R. Deshmukh },
title = { Emotion Classification of Restaurant and Laptop Review Dataset: Semeval 2014 Task 4 },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 113 },
number = { 6 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 17-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume113/number6/19829-1680/ },
doi = { 10.5120/19829-1680 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:50:14.629257+05:30
%A D. K. Kirange
%A Ratnadeep R. Deshmukh
%T Emotion Classification of Restaurant and Laptop Review Dataset: Semeval 2014 Task 4
%J International Journal of Computer Applications
%@ 0975-8887
%V 113
%N 6
%P 17-20
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The "Sentiment Analysis" task focuses on the recognition and classification of emotions (positive, negative, conflict, neutral) in reviews for the aspect. In this paper we propose the system for recognizing and analyzing the sentiments using SVM for the restaurant and laptop review dataset. We compare the performance of the system with well-known KNN classifier.

References
  1. Mesut Kaya, Guven Fidan, Ismail H. Toroslu1J. , ?Sentiment Analysis of Turkish Political News?, 978-0-7695-4880-7/12, 2012 IEEE Computer Society
  2. Noriaki Kawamae, ?Hierarchical Approach to Sentiment Analysis?, 2012 IEEE Sixth International Conference on Semantic Computing.
  3. Renata Lopes Rosa, Demostenes Zegarra Rodriguez, Graca Bressan, ?SentiMeter-Br: a Social Web Analysis Tool to Discover Consumers' Sentiment?, 2013 IEEE 14th International Conference on Mobile Data Management.
  4. Jian Chen, Yu Liu, Guangyi Zhang, ?Sentiment Analysis for Cantonese Opinion Mining?, 2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies.
  5. Wenjing Duan, Qing Cao, Yang Yu, Stuart Levy, ?Mining Online UserGenerated Content: Using Sentiment Analysis Technique to Study Hotel Service Quality?, 2013 46th Hawaii International Conference on System Sciences, 1530-1605/12 2012 IEEE http://alt. qcri. org/semeval2014/task4/
  6. D K Kirange, Dr, R R Deshmukh, "Emotion Classification of news headlines using SVM" Asian Journal of Computer Science & Information Technology 2 (5)
  7. Dr. Deshmukh R. R. , Kirange D. K. , "Classifying News Headlines for Providing User Centered E-Newspaper using SVM", International Journal of Emerging Trends in Technology and Computer Science (IJETTCS) June 2013 http://www. liwc. net
  8. Kirange D. K. , Dr. Deshmukh R. R. , "Aspect Based Sentiment Analysis: Semeval 2014- Task-4", Asian Journal of Computer Science and Information Technology (AJCSIT) Vol 4, No 8 (2014)
Index Terms

Computer Science
Information Sciences

Keywords

Aspect Sentiment Analysis SVM KNN