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Research Article
Social Media Analysis - NLP Using Glove Embeddings
Shreyas D1
Dr Sujithra M2
1Coimbatore Institute of Technology, Coimbatore, Tamil Nadu, India. 2Department of Computing-Data Science, Coimbatore Institute of Technology, Coimbatore, Tamil Nadu, India.
Published Online: November-December 2022
Pages: 118-121
Cite this article
No DOIReferences
[1] J Jeremy Howard sylvain gugger.”Deep Learning for Coders with fastai and PyTorch” O’Reillly media, Inc. July 2020
[2] Johnson Kolluri, Shaik Razia, and Soumya Ranjan Nayak. “Text classification using machine learning and deep learning model”, in
arvix.org, June 2020
[3] Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, and Jianfeng Gao. 7. “Deep learning based
text classification: A comprehensive review”, in arvix.org, January 2022
[4] muthana AI-Amidie . Laith ALzubzidi.” Review of deep learning : CNN architectures, challenges, application of future directions.” in
journal of big data 31 march 2021
[5] Kanish Shah, Henil Patel, Devanshi Sanghvi, and Manan Shah. “A comparative analysis of logistic regression, random forest and
KNN models for the text classification”, March 2020
[6] J Jeremy Howard sylvain gugger.”Deep Learning for Coders with fastai and PyTorch” O’Reillly media, Inc. July 2020
[7] Johnson Kolluri, Shaik Razia, and Soumya Ranjan Nayak. “Text classification using machine learning and deep learning model”, in
arvix.org, June 2020
[8] Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, and Jianfeng Gao. 7. “Deep learning based text
classification: A comprehensive review”, in arvix.org, January 2022
[9] muthana AI-Amidie . Laith ALzubzidi.” Review of deep learning : CNN architectures, challenges, application of future directions.” in
journal of big data 31 march 2021
[10] Kanish Shah, Henil Patel, Devanshi Sanghvi, and Manan Shah. “A comparative analysis of logistic regression, random forest and
KNN models for the text classification”, March 2020
[2] Johnson Kolluri, Shaik Razia, and Soumya Ranjan Nayak. “Text classification using machine learning and deep learning model”, in
arvix.org, June 2020
[3] Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, and Jianfeng Gao. 7. “Deep learning based
text classification: A comprehensive review”, in arvix.org, January 2022
[4] muthana AI-Amidie . Laith ALzubzidi.” Review of deep learning : CNN architectures, challenges, application of future directions.” in
journal of big data 31 march 2021
[5] Kanish Shah, Henil Patel, Devanshi Sanghvi, and Manan Shah. “A comparative analysis of logistic regression, random forest and
KNN models for the text classification”, March 2020
[6] J Jeremy Howard sylvain gugger.”Deep Learning for Coders with fastai and PyTorch” O’Reillly media, Inc. July 2020
[7] Johnson Kolluri, Shaik Razia, and Soumya Ranjan Nayak. “Text classification using machine learning and deep learning model”, in
arvix.org, June 2020
[8] Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, and Jianfeng Gao. 7. “Deep learning based text
classification: A comprehensive review”, in arvix.org, January 2022
[9] muthana AI-Amidie . Laith ALzubzidi.” Review of deep learning : CNN architectures, challenges, application of future directions.” in
journal of big data 31 march 2021
[10] Kanish Shah, Henil Patel, Devanshi Sanghvi, and Manan Shah. “A comparative analysis of logistic regression, random forest and
KNN models for the text classification”, March 2020
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