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Sentimental Analysis in Social Media using IGBA Algorithm

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2018
M. Yuvaraja, S. Thavamani

M Yuvaraja and S Thavamani. Sentimental Analysis in Social Media using IGBA Algorithm. International Journal of Computer Applications 179(38):20-25, April 2018. BibTeX

	author = {M. Yuvaraja and S. Thavamani},
	title = {Sentimental Analysis in Social Media using IGBA Algorithm},
	journal = {International Journal of Computer Applications},
	issue_date = {April 2018},
	volume = {179},
	number = {38},
	month = {Apr},
	year = {2018},
	issn = {0975-8887},
	pages = {20-25},
	numpages = {6},
	url = {},
	doi = {10.5120/ijca2018916860},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Social media observance has been growing day by day therefore analysing of social information plays a very important role in knowing user behaviour. This system has a tendency to square measure analysing Social knowledge like Twitter Tweets victimization sentiment analysis that checks the perspective of User post and review. This paper develops a new algorithm improved gradient boost algorithm is combined lexicon supported social media keywords and on-line review, post and conjointly realize hidden relationship pattern from these keyword. Finally proposed novel algorithm IGBA provide better performance compared with existing algorithm naïve Bayes classifier, Support vector machine classifier.


  1. B.Pangand L. Lee, “Opinion Mining And Sentiment Analysis,” Foundations And Trends In Info Retrieval, Vol.2, No.1-2,Pp. 1–135,2008
  2. J.Bollen, H. Mao, And A. Pepe, “Modeling Public Mood And Emo-Tion: Twitter Sentiment And Socio-Economic Phenomena,” Inproc. 5th Int. Aaai Conf. Weblogs Social Media, Barcelona, Spain, 2011.
  3. G. Heinrich, “Parameter Estimation For Text Analysis,” Fraunhofer Igd, Darmstadt, Germany, Univ. Leipzig, Leipzig, Germany, Tech. Rep., 2009.
  4. H. Becker, M. Naaman, And L. Gravano, “Learning Similarity Metrics For Event Identification In Social Media,” In Proc. 3rd Acm Wsdm, Macau, China, 2010.
  5. Paolo Fornacciari, Monica Mordonini, Michele Tomauiolo,” Social Network And Sentiment Analysis On Twitter:Towards A Combined Approach”.
  6. Rajni Singh, Rajdeep Kaur,” Sentiment Analysis On Social Media And Online Review”, International Journal Of Computer Applications (0975 – 8887) Volume 121 – No.20, July 2015.
  7. T.-K.Fanandc.-H.Chang, “Sentiment-Oriented Discourse Advertising,” Information And Knowledge Systems, Vol.23, No.3,Pp. 321–344,2010
  8. Y.Lu, C.Zhai, And N.Sundaresan, “Rated Side Account Of Short Comments,” In Www2009, 2009, Pp.131–140
  9. Pooja Khanna, Sachin Kumar, Sumita Mishra , Anant Sinha,” Sentiment Analysis: An Approach To Opinion Mining From Twitter Data Using R”, International Journal Of Advanced Research In Computer Science, Volume 8, No. 8,September-October 2017
  10. G. Parthasarathy, D. C. Tomar,” A Survey Of Sentiment Analysis For Journal Citation”, Indian Journal Of Science And Technology, Vol 8(35), Doi: 10.17485/Ijst/2015/V8i35/55134, December 2015, Issn (Print) : 0974-6846 ,Issn (Online) : 0974-5645.
  11. Surya Prakash Sharma, Dr Rajdev Tiwari, Dr Rajesh Prasad,” Opinion Mining And Sentiment Analysis On Customer Review Documents- A Survey”, International Conference On Advances In Computational Techniques And Research Practices Noida Institute Of Engineering & Technology, Greater Noida , Vol. 6, Special Issue 2, February 2017
  12. Akshi Kumar, Teeja Mary Sebastian,” Sentiment Analysis On Twitter”, Ijcsi International Journal Of Computer Science Issues, Vol. 9, Issue 4, No 3, July 2012, Issn (Online): 1694-0814
  13. Xing Fang, Justin Zhan,” Sentiment Analysis Using Product Review Data”, Fang And Zhan Journal Of Big Data (2015) 2:5 Doi 10.1186/S40537-015-0015-2.
  14. Brian Keith, Exequiel Fuentes, Claudio Meneses,” A Hybrid Approach For Sentiment Analysis Applied To Paper”, Kdd’17, August 2017, Halifax, Nova Scotia, Canada.


Data Mining, Sentiment Analysis, Social Network, Support Vector Machine, Naïve Bayes