Publication | Closed Access
Evidence of quality of textual features on the web 2.0
26
Citations
19
References
2009
Year
Unknown Venue
EngineeringIntelligent Information RetrievalSemantic WebInformation QualityCorpus LinguisticsJournalismText MiningNatural Language ProcessingSocial MediaInformation RetrievalData ScienceComputational LinguisticsTextual FeaturesLanguage StudiesContent AnalysisSocial Medium MiningWeb LiteracyWeb 2.0WebometricsSocial Multimedia TaggingHypertextWeb TrendText FeaturesWeb IntelligenceSocial ComputingSocial Media ContentLinguisticsInteractive Information Retrieval
The growth of popularity of Web 2.0 applications greatly increased the amount of social media content available on the Internet. However, the unsupervised, user-oriented nature of this source of information, and thus, its potential lack of quality, have posed a challenge to information retrieval (IR) services. Previous work focuses mostly only on tags, although a consensus about its effectiveness as supporting information for IR services has not yet been reached. Moreover, other textual features of the Web 2.0 are generally overseen by previous research.
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