A Novel Approach for Refinement of Corpus in the Field of Opinion Mining

Author

Bhattacharyya, Debnath ; Das, Poulami ; Mitra, Kheyali ; Ganguly, Debashis ; Mukherjee, Swarnendu ; Bandyopadhyay, S.K. ; Kim, Tai-Hoon

Author_Institution

Comput. Sci. & Eng. Dept., Heritage Inst. of Technol., Kolkata, India

fYear

2009

fDate

7-9 March 2009

Firstpage

281

Lastpage

285

Abstract

In this paper, we have provided a heuristic approach for the refinements of corpus based on regular expressions and its possible applications in the field of Opinion Mining. The proposed work is based on a corpus of reviews. The crude corpus is the raw html files containing reviews. This html file is refined further for the ease of our work so that we can get only the required part from that page. The ultimate output yields the xml files which will precisely store the important parts of the review pages from that refined html page. And that is going to be fed to the further process of language processing for machine learning process in the field of Opinion Mining.

Keywords

XML; data mining; hypermedia markup languages; learning (artificial intelligence); natural language processing; HTML files; XML files; corpus refinement; crude corpus; language processing; machine learning process; opinion mining field; review corpus; Application software; Computer science; Frequency; HTML; Humans; Learning systems; Machine learning; Natural language processing; Natural languages; Speech; Corpus; crude corpus; natural language processing; regular expression;

fLanguage

English

Publisher

ieee

Conference_Titel

Future Networks, 2009 International Conference on

Conference_Location

Bangkok

Print_ISBN

978-0-7695-3567-8

Type

conf

DOI

10.1109/ICFN.2009.24

Filename

5189944