July 30, 2021 Journal article Open Access

Utkarsh Malik; Harpreet Kaur; Aditi Chaudhary

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  <dc:contributor>Blue Eyes Intelligence Engineering  and Sciences Publication(BEIESP)</dc:contributor>
  <dc:creator>Utkarsh Malik</dc:creator>
  <dc:creator>Harpreet Kaur</dc:creator>
  <dc:creator>Aditi Chaudhary</dc:creator>
  <dc:date>2021-07-30</dc:date>
  <dc:description>We can’t disregard the importance of Social Media in Today’s Technology Era. Internet is almost in every hand. People uses various Social Media platforms to express themselves and their thinking about various topics such as Politics, Entertainment, Sports, etc. In the Data Science industry, trend analysis can be used for several purposes like marketing or product analysis. Twitter data has been used to analyze political polarization and the spread of protest movements. Twitter is one of the most popular social media platform that allows the users to spread and share information. Twitter publishes the list of recent or latest topics named as “Trending Topics” which shows all the happenings in the world and what are the people’s opinions about those topics. This Trend Analyzer will work on a given set of tweets and generates a graph based on the tweets and shows the comparative popularity of the used hashtags. This Analyzer will examine a set of tweets using Python and text-processing techniques.</dc:description>
  <dc:identifier>https://zenodo.org/record/5827231</dc:identifier>
  <dc:identifier>10.35940/ijrte.B6102.0710221</dc:identifier>
  <dc:identifier>oai:zenodo.org:5827231</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>issn:2277-3878</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:source>International Journal of Recent Technology and Engineering (IJRTE) 10(2) 34-38</dc:source>
  <dc:subject>In The Data Science Industry, Trend Analysis Can Be Used For Several Purposes Like Marketing Or Product Analysis.</dc:subject>
  <dc:subject>ISSN</dc:subject>
  <dc:subject>Retrieval Number</dc:subject>
  <dc:title>Tweet Retrieval and Analysing the Trends</dc:title>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:type>publication-article</dc:type>
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