CFP last date
20 May 2024
Reseach Article

Sentiment Analysis on Social Media and Online Review

by Rajni Singh, Rajdeep Kaur
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 20
Year of Publication: 2015
Authors: Rajni Singh, Rajdeep Kaur
10.5120/21660-5072

Rajni Singh, Rajdeep Kaur . Sentiment Analysis on Social Media and Online Review. International Journal of Computer Applications. 121, 20 ( July 2015), 44-48. DOI=10.5120/21660-5072

@article{ 10.5120/21660-5072,
author = { Rajni Singh, Rajdeep Kaur },
title = { Sentiment Analysis on Social Media and Online Review },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 20 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 44-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number20/21660-5072/ },
doi = { 10.5120/21660-5072 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:08:58.686126+05:30
%A Rajni Singh
%A Rajdeep Kaur
%T Sentiment Analysis on Social Media and Online Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 20
%P 44-48
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Social media monitoring has been growing day by day so analyzing of social data plays an important role in knowing customer behavior. So we are analyzing Social data such as Twitter Tweets using sentiment analysis which checks the attitude of User review on movies. This paper develops a combined dictionary based on social media keywords and online review and also find hidden relationship pattern from these keyword.

References
  1. Ana Mihanovic, Hrvoje Gabelica, ZivkoKrstic 2014 Big Data and Sentiment Analysis using Knime: Online Reviews Vs. Social Media, MIPRO Opatija, Croatia.
  2. Basant Agarwal, Narmita Mittal, Erik Cambria. 2013 Enhancing Sentiment Classification Performance using Bi-tagged Phrases, 13th International Conference on Data Mining Workshops, IEEE.
  3. Bogdon Batrinca, Philip C. Treleaven 2014 Social media analytics: a survey of techniques, tools and platform Department of Computer Science, Gower Street, London, UK published in Springer.
  4. Deptii D. Chaudhri, R. A. Deshmukh. 2012 Feature –based Approach for Review mining Using Appraisal Words, Department of Post Graduate Computer Engineering, Pune, India, IEEE.
  5. Haruna Isah, Paul Trundle, Daniel Neagu. 2014 Social media Analysis for product Safety using Text mining and Sentiment Analysis, Artificial Intelligence Research Group, University of Bradford, UK, IEEE.
  6. Jalaj S. Modha, Gayatri S. Pandi, Sandip J. Modha. 2013 Automatic Sentiment Analysis for Unstructured Data, published in IJARCSSE.
  7. Javier Conejero, Peter Burnap, Omer Rana, Jeffery Morgan 2013 Scaling Archied Social Media Data Analysis Using a Hadoop Cloud sixth international conference on cloud computing, IEEE.
  8. Jiao Wu, Bin Zhang, Weihua Gao, Yi Hu, Jinsong Liu 2011,Online Web Sentiment Analysis on Campus Network, 4th International Symposium on Computational Intelligence and Design, IEEE.
  9. Kristin Glass and Richard Colbaugh 2012 Estimating the sentiment of social media content for security informatics applications, Institute for Complex Additive System Analysis, Socorro, USA, Springer Journal.
  10. Lingyan Ji, Hanxiao Shi, Mengli, Mengxia Cai, Peiqi Feng. 2010 Opinion Mining of Product reviews based on semantic role labeling, 5th International Conference on Computer Science and Education, IEEE.
  11. Matthew Smith, Christian Szongott, Benjamin Henne, Gabriele von Voigt 2013 Big Data Privacy Issues in Public Social Media, Distributed Computing & Security Group, Leibniz Universitat Hannover, Thailand, Germany IEEE.
  12. Mohsen Farhadloo, Erik Rolland. 2013 Multi-class Sentiment analysis with clustering and score representation, 13th International Conference on Data mining Worshops, IEEE.
  13. Mrs. R. Nithya, Dr. D. Maheshwari. 2014 Sentiment Analysis on Unstructured Review, International Conference on Intelligent Computing Application, IEEE.
  14. Ms. K. Mouthami, Ms. K. Nirmala Devi, Dr. V. Murali Bhaskaran. 2010 Sentiment Analysis and Classification based on Textual Reviews, Dept of CSE, Tamil Nadu, IEEE.
  15. Nargiza Bekmamedova, Graeme Shanks 2013 Social Media Analytics and Business Value: A Theoretical Framework and Case Study, Department of Computing and Information Systems, University of Melbourne.
  16. Simona Vinerean, Iuliana Cetina 2013 The Effects of Social Media Marketing on Online Consumer Behavior, International Journal of Business and Management; Vol. 8, No. 14.
  17. SitaramAsur, Bernardo A. Huberma 2012 Predicting the Future with Social Media, Social Computing Lab, HP Labs, Palo Alto, California.
  18. V. K. Singh, R. Piryani, A. Uddin, P. Waila. 2013 Sentiment Analysis of Movie Reviews, Department of Computer Science, New Delhi, India, Published in IEEE.
  19. V. S. Jagtap, Karishma Pawar. 2013 Analysis of different approaches to Sentence-Level Sentiment Classification, published in IJSET.
  20. Ya-Ting Chang, Shih-Wei Sun 2013 A Real time Interactive Visualization System for Knowledge Transfer from Social Media in a Big Data, Center for Art and Technology, Taipei National University of the Arts, Taipei, Taiwan, IEEE.
  21. Stop words: http://en. wikipedia. org/wiki/Stop_words
  22. Stemming: http://en. wikipedia. org/wiki/Stemming
  23. Decideo Amérique Du Nord Inc www. decideo. fr/bruley/docs/2sentiment_a_v0. ppt
Index Terms

Computer Science
Information Sciences

Keywords

Preprocessing Tokenization Removal of stop words Stemming.