Abstract of Tweet Segmentation a, IJSR, Call for Papers, Online Journal
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Review Papers | Computer Science & Engineering | India | Volume 5 Issue 5, May 2016


Tweet Segmentation and Enhancement of Tweets

Sonam Meshram | Hirendra Hajare


Abstract: Twitter is a biggest connecting site that includes various types of users. Many users share their data and it is updated sites so data should be maintained properly and accessing in proper way. Hence mining algorithm helps to managing data. Many application such as Information Retrieval and Natural Language Processing contains some errors and short nature of tweets, hence to recover of such type of tweets tweet classification is used. Data mining algorithm used in the classification of tweets hence it is easily access and easy to understand.


Keywords: Twitter, tweet segmentation, named entity recognition, k-means algorithm, support vector machine algorithm


Edition: Volume 5 Issue 5, May 2016,


Pages: 577 - 579


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How to Cite this Article?

Sonam Meshram, Hirendra Hajare, "Tweet Segmentation and Enhancement of Tweets", International Journal of Science and Research (IJSR), Volume 5 Issue 5, May 2016, pp. 577-579, https://www.ijsr.net/get_abstract.php?paper_id=NOV163396

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