TweeNLP: a twitter exploration portal for natural language processing

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dc.contributor.author Shah, Viraj
dc.contributor.author Singh, Shruti
dc.contributor.author Singh, Mayank
dc.date.accessioned 2012-09-26T07:22:34Z
dc.date.available 2012-09-26T07:22:34Z
dc.date.issued 2021-06
dc.identifier.citation Shah, Viraj; Singh, Shruti and Singh, Mayank, "TweeNLP: a twitter exploration portal for natural language processing", arXiv, Cornell University Library, DOI: arXiv:2106.10512, Jun. 2021. en_US
dc.identifier.uri http://arxiv.org/abs/2106.10512
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/6728
dc.description.abstract We present TweeNLP, a one-stop portal that organizes Twitter's natural language processing (NLP) data and builds a visualization and exploration platform. It curates 19,395 tweets (as of April 2021) from various NLP conferences and general NLP discussions. It supports multiple features such as TweetExplorer to explore tweets by topics, visualize insights from Twitter activity throughout the organization cycle of conferences, discover popular research papers and researchers. It also builds a timeline of conference and workshop submission deadlines. We envision TweeNLP to function as a collective memory unit for the NLP community by integrating the tweets pertaining to research papers with the NLPExplorer scientific literature search engine.
dc.description.statementofresponsibility by Viraj Shah, Shruti Singh and Mayank Singh
dc.language.iso en_US en_US
dc.publisher Cornell University Library en_US
dc.title TweeNLP: a twitter exploration portal for natural language processing en_US
dc.type Pre-Print en_US
dc.relation.journal arXiv


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