Studying the effects of noisy text on text mining applications

ACM International Conference Proceeding Series

Volumn , Issue , 2009, Pages 107-114

  Dey, Lipika ^a   Haque, SK Mirajul ^a  

^a TATA CONSULTANCY SERVICES   (India)

Author keywords

NLP tools; Noisy text; Text mining

Indexed keywords

APPLICATION SPECIFIC; HIGH QUALITY INFORMATION; HUMAN COMMUNICATIONS; NATURAL LANGUAGE PROCESSING; NLP TOOLS; OPINION MINING; TEXT MINING; WRITTEN TEXTS;

COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; QUERY LANGUAGES;

MINING;

EID: 70450161141     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1568296.1568314     Document Type: Conference Paper

References (11)

1. Mikheev, A. (2002), Periods, capitalized words, etc., Computational Linguistics, vol. 28, pp 289-318
2. Wong, W. Liu, W. and Bennamoun, M., (2006) Integrated Scoring for Spelling Error Correction, Abbreviation Expansion and Case Restoration in Dirty Text, Proc. AusDM2006 Fifth Australasian Data Mining Conference, CRPIT Volume 61, pp. 83-89, Sydney, Australia
3. Akshay Java, Pranam Kolari, Tim Finin, Anupam Joshi and Justin Martineau, BlogVox: Separating Blog Wheat from Blog Chaff, Proceedings of the Workshop on Analytics for Noisy Unstructured Text Data, 20th International Joint Conference on Artificial Intelligence (IJCAI-2007)
4. S. Datta and S. Sarkar, A Comparative Study of Statistical Features of Language in Blogs-vs-Splogs, Proceedings of the Workshop on Analytics for Noisy Unstructured Text Data, SIGIR 08, Singapore, 2008.
5. Xiaowen Ding and Bing Liu, (2007) The Utility of Linguistic Rules in Opinion Mining, SIGIR-2007 (poster paper), 23-27 July 2007, Amsterdam.
6. Minqing Hu and Bing Liu., (2004) Mining Opinion Features in Customer Reviews. Proceedings of Nineteeth National Conference on Artificial Intelligence (AAAI-2004), San Jose, USA, July 2004.
7. A-M. Popescu and O. Etzioni, (2005) Extracting Product Features and Opinions from Reviews, EMNLP-05, Canada
8. L. Dey and Sk. M. Haque, Opinion Mining from Noisy Text Data, Proceedings of the Workshop on Analytics for Noisy Unstructured Text Data, SIGIR 08, Singapore, 2008.
9. U. Reffle, A. Gotscharek, C. Ringlstetter, K.U. Schulz, Successfully Detecting and Correcting False Friends Using Channel Profiles, Proceedings of the Workshop on Analytics for Noisy Unstructured Text Data, SIGIR 08, Singapore, 2008.
10. J. G. Shanahan, Mining opinion, 2003 BISC FLINT-CIBI International Workshop on Soft Computing for Internet and Bioinformatics.
11. Nasukawa, T., Punjani, D., Roy, S, Subramaniam, L.V., Takeuchi, H., Adding Sentence Boundaries to Conversational Speech Transcriptions using Noisily Labelled Examples, Proc. IJCAI-2007 Workshop on Analytics for Noisy Unstructured Text, pp. 71-78, Hyderabad, India.