Difference between revisions of "Real Time Filtering of Tweets Using Wikipedia Concepts and Google Tri-Gram Semantic Relatedness"
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| + | | title = Real Time Filtering of Tweets Using Wikipedia Concepts and Google Tri-Gram Semantic Relatedness | ||
| + | | date = 2015 | ||
| + | | authors = [[Anh Dang]]<br />[[Raheleh Makki]]<br />[[Abidalrahman Moh'd]]<br />[[Aminul Islam]]<br />[[Vlado Keselj]]<br />[[Evangelos E. Milios]] | ||
| + | | link = http://www.dtic.mil/dtic/tr/fulltext/u2/1004733.pdf | ||
| + | }} | ||
'''Real Time Filtering of Tweets Using Wikipedia Concepts and Google Tri-Gram Semantic Relatedness''' - scientific work related to [[Wikipedia quality]] published in 2015, written by [[Anh Dang]], [[Raheleh Makki]], [[Abidalrahman Moh'd]], [[Aminul Islam]], [[Vlado Keselj]] and [[Evangelos E. Milios]]. | '''Real Time Filtering of Tweets Using Wikipedia Concepts and Google Tri-Gram Semantic Relatedness''' - scientific work related to [[Wikipedia quality]] published in 2015, written by [[Anh Dang]], [[Raheleh Makki]], [[Abidalrahman Moh'd]], [[Aminul Islam]], [[Vlado Keselj]] and [[Evangelos E. Milios]]. | ||
== Overview == | == Overview == | ||
Abstract : This paper describes participation in the mobile notification and email digest tasks in the TREC 2015 Mircoblog track. The tasks are about monitoring [[Twitter]] stream and retrieving relevant tweets to users interest profiles. Interest profiles contain the description of a topic that the user is interested in receiving relevant posts in real-time. Authors proposed approach extracts [[Wikipedia]] concepts for profiles and tweets and applies a corpus-based word semantic [[relatedness]] method to assign tweets to their relevant profiles. This approach is also used to determine whether two tweets are semantically similar which in turn prevents the retrieval of redundant tweets. | Abstract : This paper describes participation in the mobile notification and email digest tasks in the TREC 2015 Mircoblog track. The tasks are about monitoring [[Twitter]] stream and retrieving relevant tweets to users interest profiles. Interest profiles contain the description of a topic that the user is interested in receiving relevant posts in real-time. Authors proposed approach extracts [[Wikipedia]] concepts for profiles and tweets and applies a corpus-based word semantic [[relatedness]] method to assign tweets to their relevant profiles. This approach is also used to determine whether two tweets are semantically similar which in turn prevents the retrieval of redundant tweets. | ||
Revision as of 08:58, 8 December 2019
Authors | Anh Dang Raheleh Makki Abidalrahman Moh'd Aminul Islam Vlado Keselj Evangelos E. Milios |
|---|---|
Publication date | 2015 |
Links | Original |
Real Time Filtering of Tweets Using Wikipedia Concepts and Google Tri-Gram Semantic Relatedness - scientific work related to Wikipedia quality published in 2015, written by Anh Dang, Raheleh Makki, Abidalrahman Moh'd, Aminul Islam, Vlado Keselj and Evangelos E. Milios.
Overview
Abstract : This paper describes participation in the mobile notification and email digest tasks in the TREC 2015 Mircoblog track. The tasks are about monitoring Twitter stream and retrieving relevant tweets to users interest profiles. Interest profiles contain the description of a topic that the user is interested in receiving relevant posts in real-time. Authors proposed approach extracts Wikipedia concepts for profiles and tweets and applies a corpus-based word semantic relatedness method to assign tweets to their relevant profiles. This approach is also used to determine whether two tweets are semantically similar which in turn prevents the retrieval of redundant tweets.
