Text classification with an efficient preprocessing technique for cross-language and multilingual data

Text classification with an efficient preprocessing technique for cross-language and multilingual data

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Bibliografiske detaljer
Main Authors:	Khan, Towhid, Mallick, David Dew, Khan, Md.Shakiful Islam, Hasan, Md Mahadi
Andre forfattere:	Ashraf, Faisal Bin
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2023
Fag:	Random forest Logistic regression TF-IDF SVM XGB mLSTM LSTM Information retrieval Sentiment analysis NLP Natural language processing (Computer science) Computational linguistics > Congresses
Online adgang:	http://hdl.handle.net/10361/21865

Lignende værker

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BnClinical-Sum: benchmarking datasets for Bangla long & short clinical dialogue summarization
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An integrated approach: fake review detection using convBERT-BiLSTM classification
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Analysis on the effects of wallstreetbets on the stock market
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Comparative analysis of machine learning models for stock price analysis across different dataset sizes
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