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  Published Paper Details:

  Paper Title

News Classification Using Convolutional Neural Network (CNN).

  Authors

  Shaik Shah Ali Safwan,  Ashish Pandey,  Shaik Mohammad Tausif Jabbar

  Keywords

NLP, CNN, News, LSTM, RNN, CUD toolkit, python, Deep Learning, Classification, Django.

  Abstract


As Internet usage is growing dramatically, there are tons of web content getting generated every day on social media, websites, etc. Over 90% of the data that is generated is unstructured. To make them structured, like making them categorize, summarize, and make some conclusions, we must read the entire data, which is really huge. So, to overcome this problem, this paper proposes a new text classification method using Natural Language Processing (NLP) techniques and Deep Learning algorithms. It also has Deep Learning algorithms such as CNN and Transformers, and Transformers + CNN for classifying the news text. To check the performance of the classification, the model accuracy metric was used, and the best model was integrated with the front end.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2312175

  Paper ID - 247372

  Page Number(s) - b506-b513

  Pubished in - Volume 11 | Issue 12 | December 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Shaik Shah Ali Safwan,  Ashish Pandey,  Shaik Mohammad Tausif Jabbar,   "News Classification Using Convolutional Neural Network (CNN).", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 12, pp.b506-b513, December 2023, Available at :http://www.ijcrt.org/papers/IJCRT2312175.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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