A hashtags dictionary from crowdsourced definitions

TitreA hashtags dictionary from crowdsourced definitions
Publication TypeConference Paper
Year of Publication2014
AuthorsGhenname, Ma, Subercaze, Ja, Gravier, Ca, Laforest, Fa, Abik, Mb, Ajhoun, Rb
Conference NameProceedings - International Conference on Data Engineering
Abstract

Hashtags are user-defined terms used on the Web to tag messages like microposts, as featured on Twitter. Because a hashtag is a textual word, its representation does not convey all the concepts it embodies. Several online dictionaries have been manually and collaboratively built to provide natural language definitions of hashtags. Unfortunately, these dictionaries in their rough form are inefficient for their inclusion in automatic text processing systems. As hashtags can be polysemic, dictionaries are also agnostic to collision of hashtags. This paper presents our approach for the automatic structuration of hashtags definitions into synonym rings. We present the output as a so-called folksionary, i.e. a single integrated dictionary built from everybody's definitions. For this purpose, we achieved a semantic-relatedness clustering to group definitions that share the same meaning. © 2014 IEEE.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84901760198&doi=10.1109%2fICDEW.2014.6818300&partnerID=40&md5=540602f5d144ab86a039b3b88df86c33
DOI10.1109/ICDEW.2014.6818300
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