Intelligent Email Extraction and Classification with NLP & Deep Learning

Madhu Sudhan H V

Abstract: The information extraction of data from unstructured sources has opened new opportunities for querying, organizing and analyzing data with the help of Artificial Intelligence and Deep Learning techniques. The field of information extraction has its root to natural language processing by using widely used techniques like named entity recognition, parts of speech tagging etc. Recent reports confirm that email is still number one online activity. Corporate users send and receive an average of 110 messages per day, out of which about one third are messages sent. IT Helpdesk normally receives queries through emails, it is required for a human to understand the customer problem and extract certain information from the mail and then create a ticket to take further steps. Manual Intervention can be avoided with the help of Natural Language Processing and Deep Learning.

Keywords: Artificial Intelligence, Natural Language Processing, Deep Learning, Python

Country: India, Subject Area: Computer Engineering

Pages: 1347 - 1348

Edition: Volume 8 Issue 3, March 2019

How to Cite this Article?

Madhu Sudhan H V, "Intelligent Email Extraction and Classification with NLP & Deep Learning", International Journal of Science and Research (IJSR), https://www.ijsr.net/archive/v8i3/show_abstract.php?id=ART20196371, Volume 8 Issue 3, March 2019, 1347 - 1348

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