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        <identifier>oai:meral.edu.mm:recid/4806</identifier>
        <datestamp>2022-03-24T23:13:07Z</datestamp>
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          <dc:title>TwitPre: Tweets Preprocessing Tool for Social Media Analysis</dc:title>
          <dc:creator>Thu, Pyae Phyo</dc:creator>
          <dc:creator>Nwe, Nwe</dc:creator>
          <dc:description>Ever escalating usage of social media brings asa powerful communication and information sharingtool used by millions of people around the world topost how they feel and what is happening now. It turninto a potential source of crowd wisdom extractionespecially in terms of sentiments analysis and opinionmining which lead to a significant task of currentresearch area. Major challenges in this area is to tamethe data in terms of noise, relevance, emoticons,folksonomies and slangs. TwitPre offer a regularexpression based preprocessing tasks on tweets.Expressions are defined according to the outcomes ofelegant analysis on twitter data. Experiments werecarried out to observe the effect of proposed tool whichclearly indicates the improvements in accuracycompared with the existing baseline.</dc:description>
          <dc:date>2017-02-16</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000004806</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/4806</dc:identifier>
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