CFP last date
20 January 2025
Reseach Article

Sentiment Analysis on Hadoop with Hadoop Streaming

by Piyush Gupta, Pardeep Kumar, Girdhar Gopal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 11
Year of Publication: 2015
Authors: Piyush Gupta, Pardeep Kumar, Girdhar Gopal
10.5120/21582-4651

Piyush Gupta, Pardeep Kumar, Girdhar Gopal . Sentiment Analysis on Hadoop with Hadoop Streaming. International Journal of Computer Applications. 121, 11 ( July 2015), 4-8. DOI=10.5120/21582-4651

@article{ 10.5120/21582-4651,
author = { Piyush Gupta, Pardeep Kumar, Girdhar Gopal },
title = { Sentiment Analysis on Hadoop with Hadoop Streaming },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 11 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 4-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number11/21582-4651/ },
doi = { 10.5120/21582-4651 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:08:09.114237+05:30
%A Piyush Gupta
%A Pardeep Kumar
%A Girdhar Gopal
%T Sentiment Analysis on Hadoop with Hadoop Streaming
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 11
%P 4-8
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Ideas and opinions of peoples are influenced by the opinions of other peoples. Lot of research is going on analysis of reviews given by peoples. Sentiment analysis is the major computational technique to calculate or observe sentiments of people's thoughts. Therefore, a method that assigns scores indicating positive and negative opinion about the product is proposed. It uses Hadoop Distributed File System (HDFS) to store data set and run on MapReduce architecture for performing sentiment analysis.

References
  1. "Writing Hadoop Applications in Python," (Last visited in June 2015). [online]. Available: http://www. glennklockwood. com/di/hadoop-streaming. php
  2. Batool, R. ; Khattak, A. M. ; Maqbool, J. ; Sungyoung Lee, "Precise tweet classification and sentiment analysis," Computer and Information Science (ICIS), 2013 IEEE/ACIS 12th International Conference on , vol. , no. , pp. 461,466, 16-20 June 2013
  3. Xiaoqian Zhang; Shoushan Li; Guodong Zhou; Hongxia Zhao, "Polarity Shifting: Corpus Construction and Analysis," Asian Language Processing (IALP), 2011 International Conference on , vol. , no. , pp. 272,275, 15-17 Nov. 2011
  4. Luo Yi; Fan Miao; Zhou Xiaoxia, "The design and implementation of Feature-Grading recommendation system for e-commerce," Information and Automation (ICIA), 2011 IEEE International Conference on , vol. , no. , pp. 236,241, 6-8 June 2011
  5. Kumar Singh, P. ; Sachdeva, A. ; Mahajan, D. ; Pande, N. ; Sharma, A. , "An approach towards feature specific opinion mining and sentimental analysis across e-commerce websites," Confluence The Next Generation Information Technology Summit (Confluence), 2014 5th International Conference - , vol. , no. , pp. 329,335, 25-26 Sept. 2014
  6. Hui Song; Yingxiang Fan; Xiaoqiang Liu; Dao Tao, "Extracting product features from online reviews for sentimental analysis," Computer Sciences and Convergence Information Technology (ICCIT), 2011 6th International Conference on , vol. , no. , pp. 745,750, Nov. 29 2011-Dec. 1 2011
  7. Bin Wen; Wenhua Dai; Junzhe Zhao, "Sentence Sentimental Classification Based on Semantic Comprehension," Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on , vol. 2, no. , pp. 458,461, 28-29 Oct. 2012
  8. Shoushan Li; Zhongqing Wang; Lee, S. Y. M. ; Chu-Ren Huang, "Sentiment Classification with Polarity Shifting Detection," Asian Language Processing (IALP), 2013 International Conference on , vol. , no. , pp. 129,132, 17-19 Aug. 2013
  9. Jamoussi, S. ; Ameur, H. , "Dynamic construction of dictionaries for sentiment classification," Cloud and Green Computing (CGC), 2013 Third International Conference on , vol. , no. , pp. 418,425, Sept. 30 2013-Oct. 2 2013
  10. J. McAuley and J. Leskovec. Hidden factors and hidden topics: understanding rating dimensions with review text. RecSys, 2013.
  11. "Opinion Mining, Sentiment Analysis, and Opinion Spam Detection," (Last visited in june 2015) [online]. Availaible: http://www. cs. uic. edu/~liub/FBS/sentiment-analysis. html
  12. Minqing Hu and Bing Liu. "Mining and Summarizing Customer Reviews. " Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2004), Aug 22-25, 2004, Seattle, Washington, USA.
  13. "stop-words," (Last visited in june 2015) [online]. Availaible: https://code. google. com/p/stop-words/
  14. "Interface Mapper," (Last visited in June 2015). [online]. Available: http://hadoop. apache. org/docs/r2. 6. 0/api/org/apache/hadoop/mapred/Mapper. html
  15. Godbole, N. , Srinivasaiah, M. , & Skiena, S. (2007). "Large-Scale Sentiment Analysis for News and Blogs. " ICWSM 7 (2007): 21
  16. Asmi, A. , & Ishaya, T. "Negation identification and calculation in sentiment analysis. " IMMM 2012, The Second International Conference on Advances in Information Mining and Management. 2012
Index Terms

Computer Science
Information Sciences

Keywords

Hadoop MapReduce Opinion Sentiment Analysis.