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  Published Paper Details:

  Paper Title

CLASSIFICATION, SUMMARIZATION AND EVENT EXTRACTION THROUGH EMAILS

  Authors

  Arnav Desai,  Amartya Pandit,  Mayur Waghmode,  Shubham Kulkarni,  Prof. Swati Chitale

  Keywords

NLP, SVM, Multiclass Classification, Extractive Summarization, Event Extraction

  Abstract


In this digital era, a lot of information is conveyed through emails. The email service provider applications show the users their email data but do not process it further for more convenience of the users. Automatic event generation and detailed email classification are absent in the conventional email applications. In this paper, an approach for the classification of mails, summarization and automatic event extraction through emails is discussed. The emails are classified into multiple classes using Machine Learning and not only in spam and ham. Rule-based extraction is used for summarization. The date, time, subject and venue of the event present is extracted through emails using text mining. The application is evaluated over many emails and is providing satisfactory results.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2004535

  Paper ID - 194029

  Page Number(s) - 3724-3732

  Pubished in - Volume 8 | Issue 4 | April 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Arnav Desai,  Amartya Pandit,  Mayur Waghmode,  Shubham Kulkarni,  Prof. Swati Chitale,   "CLASSIFICATION, SUMMARIZATION AND EVENT EXTRACTION THROUGH EMAILS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 4, pp.3724-3732, April 2020, Available at :http://www.ijcrt.org/papers/IJCRT2004535.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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