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.

Bibliographische Detailangaben
Hauptverfasser: Khan, Towhid, Mallick, David Dew, Khan, Md.Shakiful Islam, Hasan, Md Mahadi
Weitere Verfasser: Ashraf, Faisal Bin
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: Brac University 2023
Schlagworte:
Random forest
Logistic regression
TF-IDF
SVM
XGB
mLSTM
LSTM
Information retrieval
Sentiment analysis
NLP
Natural language processing (Computer science)
Computational linguistics > Congresses
Online Zugang:http://hdl.handle.net/10361/21865

Online

http://hdl.handle.net/10361/21865

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