We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Review of Classifiers for Automated Opinion Mining

by Shina, Navpreet Rupal
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 5
Year of Publication: 2014
Authors: Shina, Navpreet Rupal
10.5120/17001-7146

Shina, Navpreet Rupal . Review of Classifiers for Automated Opinion Mining. International Journal of Computer Applications. 97, 5 ( July 2014), 5-8. DOI=10.5120/17001-7146

@article{ 10.5120/17001-7146,
author = { Shina, Navpreet Rupal },
title = { Review of Classifiers for Automated Opinion Mining },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 5 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 5-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number5/17001-7146/ },
doi = { 10.5120/17001-7146 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:23:17.454974+05:30
%A Shina
%A Navpreet Rupal
%T Review of Classifiers for Automated Opinion Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 5
%P 5-8
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Opinion Mining has been a field of great interest and use as it helps the producers to know about the reviews of the product so as to enhance their sales. At the same time it helps the consumers as well to judge which product suits their requirements and whether the overall feedback from other consumers who have used it is positive or negative. This research proposes a system which aims to help the customers deal with bulk of reviews in an easier manner. The research also comprehends the optimum classifier to judge the contextual polarity of the review.

References
  1. Muresan, I. Stan, A. ; Giurgiu, M. ; Potolea, R. 2013 "Evaluation of Sentiment Polarity Prediction using a Dimensional and a Categorical Approach" 7th Conference on Speech Technology and Human - Computer Dialogue (SpeD), pp 1 – 6, DOI 10. 1109/SpeD. 2013. 6682645
  2. Pimwadee Chaovalit; Lina Zhao 2005 "Movie Review Mining: a Comparison between Supervised and Unsupervised Classification Approaches" Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05), pp 112. 3, DOI 10. 1109/HICSS. 2005. 445
  3. Baloglu, A. ; Aktas, M. S. 2010 "BlogMiner: Web Blog Mining Application for Classification of Movie Reviews" Fifth International Conference on Internet and Web Applications and Services (ICIW), pp 77 – 84, DOI 10. 1109/ICIW. 2010. 19
  4. Singh, V. K. ; Piryani, R. ; Uddin, A. ; Waila, P. 2013 "Sentiment Analysis of Movie Reviews and Blog Posts, Evaluating SentiWordNet with different Linguistic Features and Scoring Schemes" 2013 IEEE 3rd International Advance Computing Conference (IACC), pp 893 – 898 , DOI 10. 1109/IAdCC. 2013. 6514345
  5. Banic, L. ; Mihanovic, A. ; Brakus, M. 2013 "Using Big Data and Sentiment Analysis in Product Evaluation" 36th International Convention on Information & Communication Technology Electronics & Microelectronics (MIPRO), pp 1149 – 1154
  6. Dehkharghani, R. ; Yilmaz, C. 2013 "Automatically Identifying a Software Product's Quality Attributes through Sentiment Analysis of Tweets" 1st International Workshop on Natural Language Analysis in Software Engineering (NaturaLiSE), pp 25 – 30, DOI 10. 1109/NAturaLiSE. 2013. 6611717
  7. Pang B; Lee L 2008 "Opinion Mining and Sentiment Analysis" Foundations and trends in information retrieval, pp Pages 1-135, DOI 10. 1561/1500000011
  8. Peng Jiang ; Chunxia Zhang ; Hongping Fu ; Zhendong Niu 2010 "An Approach Based on Tree Kernels for Opinion Mining of Online Product Reviews" IEEE 10th International Conference on Data Mining (ICDM) , pp 256 – 265 DOI 10. 1109/ICDM. 2010. 104
  9. Chien-Liang Liu ; Wen-Hoar Hsaio ; Chia-Hoang Lee ; Gen-Chi Lu ; Jou, E. 2012 "Movie Rating and Review Summarization in Mobile Environment" IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, pp 397 – 407, DOI 10. 1109/TSMCC. 2011. 2136334
  10. Mouthami, K. ; Dept. of CSE, Kongu Eng. Coll. , Erode, India ; Devi, K. N. ; Bhaskaran, V. M. 2013 "Sentiment Analysis and Classification Based On Textual Reviews" International Conference on Information Communication and Embedded Systems (ICICES), pp 271 – 276, DOI 10. 1109/ICICES. 2013. 6508366
  11. Stefano Baccianella, Andrea Esuli, Fabrizio Sebastiani 2010 "SENTIWORDNET 3. 0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining" Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)
  12. Cambria E. ; C. Havasi C. ; Hussain A. 2012 "SenticNet 2: A Semantic and Affective Resource for Opinion Mining and Sentiment Analysis" AAAI FLAIRS, Marco Island, pp. 202-207
  13. http://www. cs. put. poznan. pl/jstefanowski/sed/DM-4-evaluatingclassifiersnew. pdf
Index Terms

Computer Science
Information Sciences

Keywords

Opinion Mining classifier contextual polarity

Powered by PhDFocusTM