Tagging Questions Automatically Through Multilabel Classification

Tagging Questions Automatically Through Multilabel Classification

Registration ID: IJNRD_187274

Published ID: IJNRD2302088

DOI: Click Here to Get

CH. PUJITHA , G. CHANDRA SAI , G. DURGA SRAVANI , K. AJAY KUMAR REDDY

Tagging Questions, Multi-label Classification

Automatic Question Tagging using Multi-Label Classification in Community Question Answering Sites helpful to tag the questions automatically to give correct and accurate results to the users who ask the question and get answer from other users in CQA and also helps to enhance the user experience. CQA sites generally use tags to specify questions for easy navigation to users. But the task of annotating tags for the questions is not entirely left on users. Sometimes the user can not specify correct and accurate tags to some questions. But to get best answers the tags must be informative. So, we considered the problem of annotating tags to questions as a multi label classification task. Multi label classification is implemented to formulate question tagging because it creates single instance to multiple labels.

Published Paper   E-Certificate

"Tagging Questions Automatically Through Multilabel Classification", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 2, page no.a893-a896, February-2023, Available :https://ijnrd.org/papers/IJNRD2302088.pdf

Volume 8 Issue 2, February-2023

Pages : a893-a896

Paper Reg. ID: IJNRD_187274

Published Paper Id: IJNRD2302088

Downloads: 000121137

Research Area: Science & Technology

Country: Vijayawada, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2302088.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2302088

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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