ISSN (Online) : 2456 - 0774

Email :

ISSN (Online) 2456 - 0774



Abstract- There are many ways one could effort to observe fakeor partial intelligence on the internet. However, we awareness our executionbased on stance detection soured the sterling flexibility and are dependabilitywithout having to get into the garment of labeling individual assertion as trueor false. Rather we purpose for a more general movement classifying articlesfrom chartless sources as mostly agreeing or generally disagree with sources ofknown (high and low) credibility. Moreover, our implementation is particularlycompelling because we can evaluate user input as either a link to an article ORas any absolute claim to be fact restrained like (Obama is not a US citizen).In this way our system acts as a fact-finding activity engine and twist linksto applicable articles along with that article’s stance(agree/disagree/is-neutral) on that topic! Our program offers enormous investigationand discovery possible to users as well as merely checking assertion. We wantedto make an easy-to-use system to detect the believability of a user’s claim orarticle, based on the thought of stance detection.

Keywords: - NLP

Full Text PDF


Submit paper at

Paper Submission Open For April  20212
UGC indexed in (Old UGC) 2017
Last date for paper submission 30th April, 2022
Deadline Submit Paper any time
Publication of Paper Within 01-02 Days after completing all the formalities
Paper Submission Open For Publication /online Conference 
Publication Fees  
Free for PR Students