A survey on Short text analysis in Web

A survey on Short text analysis in Web

With the recent explosive growth of Short text in the Internet and blog-sphere, Short text classification and analysis has been identified as a booming research topic in recent times. Short text classification is a challenge due to its sparse nature, noise words, syntactical structure and colloquial...

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Hauptverfasser: Rafeeque, P. C., Sendhilkumar, S.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Classification
Clustering
Encyclopedias
Internet
Opinion mining
Semantics
Short text
Text categorization
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description With the recent explosive growth of Short text in the Internet and blog-sphere, Short text classification and analysis has been identified as a booming research topic in recent times. Short text classification is a challenge due to its sparse nature, noise words, syntactical structure and colloquial terminologies used. It is usually difficult for traditional similarity measures to detect intrinsic relationship among Short text snippets as they contain very limited common words. Although there are several reviews done on Text classification in general, there are no systematic reviews on Short text classification and analysis. This survey discusses the existing works on Short text analysis and the related issues and challenges. The effectiveness of these algorithms have been analysed by using standard analytical measures.
doi_str_mv 10.1109/ICoAC.2011.6165203
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subjects Classification
Clustering
Encyclopedias
Internet
Opinion mining
Semantics
Short text
Text categorization
title A survey on Short text analysis in Web
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