Blog text analysis using topic modeling, named entity recognition and sentiment classifier combine

Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013

Volumn , Issue , 2013, Pages 1166-1171

  Waila, Pranav ^a   Singh, V K ^b   Singh, M K ^a  

^a BANARAS HINDU UNIVERSITY   (India)

^b SOUTH ASIAN UNIVERSITY   (India)

Author keywords

Blogosphere; Information Extraction; Sentiment Analysis; Social Computing; Social Media Analytics

Indexed keywords

BLOGOSPHERES; COMPUTATIONAL ANALYSIS; INTEGRATED FRAMEWORKS; NAMED ENTITY RECOGNITION; SENTIMENT ANALYSIS; SOCIAL COMPUTING; SOCIAL MEDIA ANALYTICS; VISUALIZATION TECHNIQUE;

COMPUTATIONAL METHODS; DATA MINING; INFORMATION RETRIEVAL; INFORMATION SCIENCE;

BLOGS;

EID: 84891905569     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICACCI.2013.6637342     Document Type: Conference Paper

References (25)

1. Technorati &Blogpulse Blogging Statistics, Retrieved from http://www.socialmediaexaminer.com/tag/blogging-statistics/ on 15 Jan., 2013.
2. Wordpress Blogging Statistics, Retrieved from en.wordpress.com/stats/ on 15 Jan., 2013.
3. Blogging Stats 2012 (Infographic), Retrieved from http://blogging.org/ blog/blogging-stats-2012-infographic/ on 17 Jan., 2013.
4. N. Agarwal, H. Liu, L. Tang, and P.S. Yu, "Identifying the Influential Bloggers in a Community", In proceedings of International Conference on Web Search and Web Data Mining, pp. 207-218. ACM Press, Palo Alto, U.S.A. 2008
5. D. Mahata and N. Agarwal, "What Does Everybody Know? Identifying Event-specific Sources from Social Media", In Proceedings of the fourth International Conference on Computational Aspects of Social Networks (CASoN 2012). November 21-23, 2012. Sao Carlos, Brazil.
6. H. Liu, P.S. Yu, N.Agarwal and T. Suel, "Social Computing in the Blogosphere", IEEE Internet Computing, April 2010, pp. 12-14.
7. N. Agarwal and H. Liu, "Blogosphere: Research Issues, Tools and Applications", SIGKDD Explorations, Vol. 10, No.1, pp. 18-31, 2008.
8. V. K. Singh, M. Mukherjee, G. K. Mehta, N. Tiwari and S. Garg, "Opinion Mining from Weblogs and its Relevance for Socio-political Research", In M. Natarajan, C. Nabendu and N. Dhinaharan (Eds.) Advances in Computer Science and Information Technology. Computer Science and Engineering, Part II, Jan. 2012, LNICST 85, Springer, pp. 134-145
9. V.K. Singh, D. Mahata and R. Adhikari, "Mining the Blogosphere from a Socio-political Perspective", In Proceedings of the 6th International Conference on Computer Information Systems and Industrial Management, IEEE press, Nov. 2010, pp. 365-370.
10. V. K. Singh, "Mining the Blogosphere for Sociological Inferences", In S. Ranka et al. (Eds.): Contemporary Computing, CCIS Vol. 94, Springer-Verlag, Heidelberg, pp. 547-558, 2010.
11. Y. Mehrav, F. Mesquita, D. Barbosa, W.G. Yee and O. Fireder, "Extracting Information Networks from the Blogosphere", ACM Transactions on the Web, Vol. 6, No. 3, September 2012.
12. H. Moe, "Mapping the Norwegian Blogosphere: Mthodological Challenges in Internationalizing Internet Research", Social Science Computer Review 29(3) 313-326, 2011.
13. Y. Suhara, H. Toda and A. Sakurai, "event Mining from the Blogosphere using Topic Words", Proceedings of ICWSM, 2007
14. L. Adamic and N. Glanse, "The Political Bolosphere and the 2004 US Election: Divided they Blog", Proceedings of 3rd International Workshop on Link Discovery, ACM, 2005.
15. J. Lin and A. Halavais, "Mapping the Blogosphere in America", In WWW 2004 Workshop on the Weblogging Ecosystem: Aggregation, Analysis and Dynamics, 2004
16. D. Blei, "Probabilistic Topic Models", Communications of the ACM, 55(4), pp.77-84, 2012.
17. D. Blei, A. Ng and M. Jordan, "Latent Dirichlet Allocation", Journal of Machine Learning Research, 3, pp.993-1022, January 2003
18. D. Blei and J. Lafferty, "Topic Models", In A. Srivastava and M. Sahami (eds.) Text Mining: Classification, Clustering, and Applications, Chapman &Hall/CRC Data Mining and Knowledge Discovery Series, 2009
19. D. Nadeau and S. Sekine, "A survey of named entity recognition and classification", Lingvisticae Investigationes 30.1, pp. 3-26, 2007.
20. Stanford Named Entity Recognizer, Retrieved from http://nlp.stanford.edu/ software/CRF-NER.shtml on 15 Jan., 2013.
21. Alchemy API, retrieved from http://www.alchemyapi.com/ on 15 Jan., 2013.
22. SentiWordNet, Retrieved from http://sentiwordnet.isti.cnr.it/ on 15 Jan., 2013.
23. V.K. Singh, R. Piryani, A. Uddin and P. Waila, "Sentiment Analysis of Movie Reviews and Blog Posts: Evaluating SentiWordNet with different linguistic features and scoring schemes", In Proceedings of 3rd IEEE International Advanced Computing Conference, India, Feb. 2013.
24. V.K. Singh, R. Piryani, A. Uddin and P. Waila, "Sentiment Analysis of Movie Reviews: A new feature-based Heuristic for Aspect-level Sentiment Classification", In Proceedings of International Muli-Conference on Automation, Communication, Computing, Control and Compressed Sensing, Kerala-India, March 2013
25. Gephi: The Open Graph Viz Platform, Retrieved from https://gephi.org/ on 15 Jan. 2013.