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Volume 13 Issue 2 - April 2019

  • 1. Quesgen using nlp

    Authors : Pawan Ngp, Pooja Bahuguni, Pooja Dattatri, Shilpi Kumari, Vikranth B.m

    Pages : 9-14

    DOI : http://dx.doi.org/10.21172/1.132.02

    Keywords : NLP,NLP toolkit,Sentence extraction,Keyword extraction,ChatBot,RAKE,TextRank

    Abstract :

    Abstract— when people read for long hours, they seldom are able to grasp concepts and it gives them false sense of understanding it. The aim of this project is to tackle this problem by processing given text and generating applicable questions and answer. The steps followed are: 1. Candidate key sentences are selected (using Text Rank). 2. Candidate key words are selected from candidate key sentences (RAKE). 3. These selected key sentences and words are stored in the database (MongoDB) and presented to the user through chatbot interface

    Citing this Journal Article :

    Pawan Ngp, Pooja Bahuguni, Pooja Dattatri, Shilpi Kumari, Vikranth B.m, "Quesgen using nlp", Volume 13 Issue 2 - April 2019, 9-14

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