Bang-lish sentiment classification using deep learning

Bang-lish sentiment classification using deep learning

This internship report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Bibliographische Detailangaben
Hauptverfasser: Saleheen, Abrar, Siam, Saleh Ahmed, Akter, Sanjeda, Ghosh, Akash, Ahona, Adiba Anbar
Weitere Verfasser: Shakil, Arif
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: Brac University 2023
Schlagworte:
Sentiment classification
Spell corrector
Hybrid model
Convolutional Neural Network
Gated recurrent unit
Machine learning
Cognitive learning theory (Deep learning)
Online Zugang:http://hdl.handle.net/10361/19372

Online

http://hdl.handle.net/10361/19372

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