Difference between revisions of "Clustering Short Texts Using Wikipedia"
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| + | {{Infobox work | ||
| + | | title = Clustering Short Texts Using Wikipedia | ||
| + | | date = 2007 | ||
| + | | authors = [[Somnath Banerjee]]<br />[[Krishnan Ramanathan]]<br />[[Ajay Gupta]] | ||
| + | | doi = 10.1145/1277741.1277909 | ||
| + | | link = http://dl.acm.org/citation.cfm?id=1277741.1277909 | ||
| + | }} | ||
'''Clustering Short Texts Using Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2007, written by [[Somnath Banerjee]], [[Krishnan Ramanathan]] and [[Ajay Gupta]]. | '''Clustering Short Texts Using Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2007, written by [[Somnath Banerjee]], [[Krishnan Ramanathan]] and [[Ajay Gupta]]. | ||
== Overview == | == Overview == | ||
Subscribers to the popular news or blog feeds (RSS/Atom) often face the problem of information overload as these feed sources usually deliver large number of items periodically. One solution to this problem could be clustering similar items in the feed reader to make the information more manageable for a user. Clustering items at the feed reader end is a challenging task as usually only a small part of the actual article is received through the feed. In this paper, authors propose a method of improving the accuracy of clustering short texts by enriching their representation with additional [[features]] from [[Wikipedia]]. Empirical results indicate that this enriched representation of text items can substantially improve the clustering accuracy when compared to the conventional bag of words representation. | Subscribers to the popular news or blog feeds (RSS/Atom) often face the problem of information overload as these feed sources usually deliver large number of items periodically. One solution to this problem could be clustering similar items in the feed reader to make the information more manageable for a user. Clustering items at the feed reader end is a challenging task as usually only a small part of the actual article is received through the feed. In this paper, authors propose a method of improving the accuracy of clustering short texts by enriching their representation with additional [[features]] from [[Wikipedia]]. Empirical results indicate that this enriched representation of text items can substantially improve the clustering accuracy when compared to the conventional bag of words representation. | ||
Revision as of 04:04, 29 December 2020
Authors | Somnath Banerjee Krishnan Ramanathan Ajay Gupta |
|---|---|
Publication date | 2007 |
DOI | 10.1145/1277741.1277909 |
Links | Original |
Clustering Short Texts Using Wikipedia - scientific work related to Wikipedia quality published in 2007, written by Somnath Banerjee, Krishnan Ramanathan and Ajay Gupta.
Overview
Subscribers to the popular news or blog feeds (RSS/Atom) often face the problem of information overload as these feed sources usually deliver large number of items periodically. One solution to this problem could be clustering similar items in the feed reader to make the information more manageable for a user. Clustering items at the feed reader end is a challenging task as usually only a small part of the actual article is received through the feed. In this paper, authors propose a method of improving the accuracy of clustering short texts by enriching their representation with additional features from Wikipedia. Empirical results indicate that this enriched representation of text items can substantially improve the clustering accuracy when compared to the conventional bag of words representation.
