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)
With the increasing amount of information or data stored in electronic format there is a need for powerful means for the analysis and interpretation of such data which could be useful in the decision-making process. The last few years have seen a growth of research interest in the development of textual data management techniques in this era of information, news is accessible very easily as news is available through online sources. This becomes a necessity to classify such data as news articles pose a great influence on various sections of our lives. This project presents a system for the classification of news articles based on text mining and deep learning algorithms such as Natural language processing and Multilayer perceptron algorithm. Experimental results show that the proposed system provides improved accuracy in news classification.
Keywords:
NLP, MLP algorithm, Machine Learning, Deep Learning Technique, BERT Algorithm
Cite Article:
"Enhancing Multi-Class Text Classification In Imbalanced News Data", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.d545-d552, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404360.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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