International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org

Call for Paper, Published Articles, Indexing Infromation Extraction of key topics from online text reviews , Authors : BHASKARJYOTI DAS, PRATHIMA V R , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
Volume & Issue no: Volume 5, Issue 2, March - April 2016

Title:
Extraction of key topics from online text reviews
Author Name:
BHASKARJYOTI DAS, PRATHIMA V R
Abstract:
Abstract Though it has been a subject of active research for a while, extraction of key phrases from unstructured textual data is not a completely mature technology. Apart from the usual challenges in computational linguistics such as synonymy and polysemy, there may be additional domain specific challenges. So, a state-of-art in one domain may not be so in a different domain and there is hardly any universally acceptable and completely accurate solution. In this paper, we evaluate and compare different approaches for key topic extraction from unstructured textual data found in online review and rating portals. Keywords: Topic, key phrase, co-occurrence, supervised learning, unsupervised learning, dimensionality reduction, graph theory, deep learning
Cite this article:
BHASKARJYOTI DAS, PRATHIMA V R , " Extraction of key topics from online text reviews " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 5, Issue 2, March - April 2016 , pp. 109-113 , ISSN 2278-6856.
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