INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
Keywords:
Tagging Questions, Multi-label Classification
Cite Article:
"Tagging Questions Automatically Through Multilabel Classification", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 2, page no.a893-a896, February-2023, Available :http://www.ijnrd.org/papers/IJNRD2302088.pdf
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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
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