Difference between revisions of "Wikipedia‐Based Topic Clustering for Microblogs"
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== Overview == | == Overview == | ||
Microblogging has become a primary channel by which people not only share information, but also search for information. However, microblog search results are most often displayed by simple criteria such as creation time or author. A review of the literature suggests that clustering by topic may be useful, but short posts offer limited scope for clustering using lexical evidence alone. This paper therefore presents an approach to topical clustering based on augmenting lexical evidence with the use of [[Wikipedia]] as an external source of evidence for topical similarity. The main idea is to link terms in microblog posts to Wikipedia pages and then to leverage Wikipedia's link structure to estimate [[semantic similarity]], Results show statistically significant relative improvements of about 3% in cluster purity using a relatively small (7500-post, 5-topic) [[Twitter]] test collection. Linking terms in microblog posts to Wikipedia pages is also shown to offer a useful basis for cluster labeling. | Microblogging has become a primary channel by which people not only share information, but also search for information. However, microblog search results are most often displayed by simple criteria such as creation time or author. A review of the literature suggests that clustering by topic may be useful, but short posts offer limited scope for clustering using lexical evidence alone. This paper therefore presents an approach to topical clustering based on augmenting lexical evidence with the use of [[Wikipedia]] as an external source of evidence for topical similarity. The main idea is to link terms in microblog posts to Wikipedia pages and then to leverage Wikipedia's link structure to estimate [[semantic similarity]], Results show statistically significant relative improvements of about 3% in cluster purity using a relatively small (7500-post, 5-topic) [[Twitter]] test collection. Linking terms in microblog posts to Wikipedia pages is also shown to offer a useful basis for cluster labeling. | ||
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+ | == Embed == | ||
+ | === Wikipedia Quality === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | Xu, Tan; Oard, Douglas W.. (2011). "[[Wikipedia‐Based Topic Clustering for Microblogs]]". Wiley Subscription Services, Inc., A Wiley Company. DOI: 10.1002/meet.2011.14504801186. | ||
+ | </nowiki> | ||
+ | </code> | ||
+ | |||
+ | === English Wikipedia === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | {{cite journal |last1=Xu |first1=Tan |last2=Oard |first2=Douglas W. |title=Wikipedia‐Based Topic Clustering for Microblogs |date=2011 |doi=10.1002/meet.2011.14504801186 |url=https://wikipediaquality.com/wiki/Wikipedia‐Based_Topic_Clustering_for_Microblogs |journal=Wiley Subscription Services, Inc., A Wiley Company}} | ||
+ | </nowiki> | ||
+ | </code> | ||
+ | |||
+ | === HTML === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | Xu, Tan; Oard, Douglas W.. (2011). &quot;<a href="https://wikipediaquality.com/wiki/Wikipedia‐Based_Topic_Clustering_for_Microblogs">Wikipedia‐Based Topic Clustering for Microblogs</a>&quot;. Wiley Subscription Services, Inc., A Wiley Company. DOI: 10.1002/meet.2011.14504801186. | ||
+ | </nowiki> | ||
+ | </code> | ||
+ | |||
+ | |||
+ | |||
+ | [[Category:Scientific works]] | ||
+ | [[Category:Twi Wikipedia]] |
Latest revision as of 17:35, 13 February 2021
Authors | Tan Xu Douglas W. Oard |
---|---|
Publication date | 2011 |
DOI | 10.1002/meet.2011.14504801186 |
Links | Original |
Wikipedia‐Based Topic Clustering for Microblogs - scientific work related to Wikipedia quality published in 2011, written by Tan Xu and Douglas W. Oard.
Overview
Microblogging has become a primary channel by which people not only share information, but also search for information. However, microblog search results are most often displayed by simple criteria such as creation time or author. A review of the literature suggests that clustering by topic may be useful, but short posts offer limited scope for clustering using lexical evidence alone. This paper therefore presents an approach to topical clustering based on augmenting lexical evidence with the use of Wikipedia as an external source of evidence for topical similarity. The main idea is to link terms in microblog posts to Wikipedia pages and then to leverage Wikipedia's link structure to estimate semantic similarity, Results show statistically significant relative improvements of about 3% in cluster purity using a relatively small (7500-post, 5-topic) Twitter test collection. Linking terms in microblog posts to Wikipedia pages is also shown to offer a useful basis for cluster labeling.
Embed
Wikipedia Quality
Xu, Tan; Oard, Douglas W.. (2011). "[[Wikipedia‐Based Topic Clustering for Microblogs]]". Wiley Subscription Services, Inc., A Wiley Company. DOI: 10.1002/meet.2011.14504801186.
English Wikipedia
{{cite journal |last1=Xu |first1=Tan |last2=Oard |first2=Douglas W. |title=Wikipedia‐Based Topic Clustering for Microblogs |date=2011 |doi=10.1002/meet.2011.14504801186 |url=https://wikipediaquality.com/wiki/Wikipedia‐Based_Topic_Clustering_for_Microblogs |journal=Wiley Subscription Services, Inc., A Wiley Company}}
HTML
Xu, Tan; Oard, Douglas W.. (2011). "<a href="https://wikipediaquality.com/wiki/Wikipedia‐Based_Topic_Clustering_for_Microblogs">Wikipedia‐Based Topic Clustering for Microblogs</a>". Wiley Subscription Services, Inc., A Wiley Company. DOI: 10.1002/meet.2011.14504801186.