CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Emotion Detection and Sentiment Analysis in Text Corpus: A Differential Study with Informal and Formal Writing Styles

by Jasleen Kaur, Jatinderkumar R. Saini
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 101 - Number 9
Year of Publication: 2014
Authors: Jasleen Kaur, Jatinderkumar R. Saini
10.5120/17712-8078

Jasleen Kaur, Jatinderkumar R. Saini . Emotion Detection and Sentiment Analysis in Text Corpus: A Differential Study with Informal and Formal Writing Styles. International Journal of Computer Applications. 101, 9 ( September 2014), 1-9. DOI=10.5120/17712-8078

@article{ 10.5120/17712-8078,
author = { Jasleen Kaur, Jatinderkumar R. Saini },
title = { Emotion Detection and Sentiment Analysis in Text Corpus: A Differential Study with Informal and Formal Writing Styles },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 101 },
number = { 9 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume101/number9/17712-8078/ },
doi = { 10.5120/17712-8078 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:31:12.064389+05:30
%A Jasleen Kaur
%A Jatinderkumar R. Saini
%T Emotion Detection and Sentiment Analysis in Text Corpus: A Differential Study with Informal and Formal Writing Styles
%J International Journal of Computer Applications
%@ 0975-8887
%V 101
%N 9
%P 1-9
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Text, either online or offline can be presented in two different writing styles: formal and informal writing style. A Piece of text may contain a lot of emotion, ideas or feelings. Various techniques and methods are present in the field of Opinion Mining and Sentiment Analysis to extract the emotions from text. This paper presents a differential analysis of Formal and Informal text pieces in the field of Sentiment Classification. This paper presents a study and analysis of differences of approaches used for Emotion Detection and Sentiment Analysis for both cases. In this study, 10 formal text pieces in form of poetry, proverbs, essay and document are analyzed. These text pieces are present in 7 different International languages (i. e. Persian, Spanish, Chinese, Arabic, Malaysian, English, Ottoman). Informal text, in form of chats, emails, review sites and micro blogs, written in different International languages (Korean, Persian and English) are considered in this study. Various machine learning based methods -Support Vector Machine(SVM), Naive Bayes (NB), Decision Tree are more often used in classification of literary arts especially poetry. Statistical Machine learning approach Support Vector Machine outperforms all other methods in case of poetry and NB performed well in case of Informal Writing Style.

References
  1. Silva A. V. , "Classifying Emails by Flow of Emotions" accessed from https://wiki. engr. illinois. edu/download/attachments/200017637/dm_report. pdf?version=1&modificationDate=1336540369000 on July 2014.
  2. Kumar A. and Sebastian T. M. "Sentiment Analysis on Twitter" International Journal of Computer Science Issues, vol. 9, Issue 4, no. 3, 2012, pp. 372-378.
  3. Pang B. , Lee L. , and Vaithyanathan S. , "Thumbs Up? Sentiment Classification Using Machine Learning Techniques," Proceedings Of The Conference On Empirical Methods In Natural Language Processing, 2002, pp. 79-86.
  4. Bagheri, A. , Saraee, M. de Jong, F. "Sentiment Classification in Persian: Introducing a mutual information-based method for feature selection" 21st Iranian Conference on Electrical Engineering (ICEE), May 2013, pp. 1-6.
  5. Liu B. ,"Sentiment Analysis and Opinion Mining", Morgan & Claypool Publishers, May 2012.
  6. Pang B. and Lee L. , "Opinion Mining and Sentiment Analysis", Foundations and Trends in Information Retrieval, vol. 2, no. 1-2,2008, pp. 1–135
  7. Lu C. Y. , Hsu W. W. Y. , Peng H. T. , Chung J. M. and Ho J. M. , "Emotion Sensing for Internet Chatting: A Web Mining Approach for Affective Categorization of Events", 2010 13th IEEE International Conference on Computational Science and Engineering, DOI 10. 1109/CSE. 2010. 44, 11-13 Dec. 2010, pp. 295-301.
  8. Liu D "Research on Sentiment Classification of Chinese Micro Blog Based on Machine Learning "International Journal of Digital Content Technology and its Applications (JDCTA) vol. 7, no. 3, February 2013, pp. 395-402.
  9. Can E. F. , Can F. , Duygulu P. , Kalpakli M. ,"Automatic Categorization of Ottoman Literary Texts by Poet and Time Period", Computer and Information Sciences-II, 2012, pp. 51-57.
  10. Petz G. , Karpowicz M. , Fürschu H. , St?íteský A. A. V. , and Holzinger A, "Opinion Mining on the Web 2. 0–Characteristics of User Generated Content and Their Impacts", Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data Lecture Notes in Computer Science, vol. 7947, 2013, pp. 35–46.
  11. Hamidi S. , Razzazi F. , Ghaemmaghami M. P. , "Automatic meter classification in Persian poetries using Support Vector Machines" IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Dec. 2009, pp. 563 – 567.
  12. Tizhoosh H. R. , Dara R. A. "On poem recognition" Pattern Analysis and Applications, vol. 9, no. 4, 2006, pp. 325–338.
  13. Kaur J. and Saini J. R. , "On classifying sentiments and mining opinions" International Journal of Emerging Technologies in Computational and Applied Sciences (IJETCAS), ISSN: 2279-0047, eISSN: 2279-0055, 2014.
  14. Li B. , Lu J. , Yao J. M. , Zhu Q. M. , "Automated Essay Scoring Using the KNN Algorithm" International Conference on Computer Science and Software Engineering, vol. 1, 12-14 Dec. 2008, pp. 735-738.
  15. Barros L. , Rodriguez P. , Ortigosa A. "Automatic Classification of Literature Pieces by Emotion Detection A Study on Quevedo's Poetry" , Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on ,2-5 Sept. 2013, pp. 141-146.
  16. Jamal N. , Mohd M. and Noah S. A. , "Poetry Classification Using Support Vector Machines" Journal of Computer Science, vol. 8, no. 9, 2012, pp. 1441-1446.
  17. Alsharif O. , Alshamaa D. and Ghneim N. , "Emotion Classification in Arabic Poetry using Machine Learning" International Journal of Computer Applications , volume 5, no. 16, March 2013, pp. 10-15.
  18. Poem accessed from http://www. oxforddictionaries. com/definition/english/poem?q=poem on July 2014.
  19. S. A. Noah and F. Ismail, 2008. "Automatic Classifications of Malay Proverbs Using Naive Bayesian Algorithm" Information Technology Journal, vol. 7, 2008, pp. 1016-1022.
  20. Cho S. H. and Kang B. H. , "Statistical Text Analysis and Sentiment Classification in Social Media", 2012 IEEE International Conference on Systems, Man, and Cybernetics, COEX, Seoul, Korea, October 14-17, 2012.
  21. Tan S. and Zhang J. "An empirical study of Sentiment Analysis for Chinese documents" Expert Systems with Applications: An International Journal, Volume 34 Issue 4, May, 2008, pp. 2622-2629.
  22. Poria S. , Cambriab E. ,Wintersteinc G. , Huanga G. B. "Sentic Patterns: Dependency-Based Rules for Concept-Level Sentiment Analysis", Knowledge-Based Systems, 2014, pp. 1–32.
  23. Kumar V. and Minz S. , "Poem classification using machine learning" Proceedings published in Advances Volume 236, 2014, pp. 675-682.
  24. Ding X, Liu B. , Yu P. S. , "A Holistic Lexicon-Based Approach to Opinion Mining" Proceedings of the 2008 International Conference on Web Search and Data Mining published by ACM, February 11-12, 2008, Palo Alto, California, USA. 2008.
  25. He Z. S. , Liang W. T. , Li L. Y. , Tian Y. F. , "SVM-Based Classification Method for Poetry Style" International Conference on Machine Learning and Cybernetics,volume-5,2007, pp. 2936 – 2940.
  26. Samsudin N. , Hamdan A. R. , Puteh M. , Nazri M. Z. A. "Mining Opinion in Online Messages" International Journal of Advanced Computer Science and Applications, vol. 4, No. 8, pp. 19-23, 2013.
  27. Saini J. R. , "Polarity Determination using Opinion Mining in Stocks and Shares-advertising Unsolicited Bulk e-mails", International Journal of Engineering Innovation & Research (ISSN: 2277-5668), vol. 1, no. 2, March 2012, pp. 86-92.
Index Terms

Computer Science
Information Sciences

Keywords

Emotion Detection Formal Text Informal Text Opinion Mining Sentiment Analysis.

Powered by PhDFocusTM