Social media trend analysis to predict the success of products using deep learning technique

Social media trend analysis to predict the success of products using deep learning technique

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

Détails bibliographiques
Auteurs principaux:	Khan, Farden Ehsan, Ruhan, Ahmed Mahir, Shamsuddin, Rifat
Autres auteurs:	Ashraf, Faisal Bin
Format:	Thèse
Langue:	English
Publié:	Brac University 2023
Sujets:	Social media Trend analysis Deep learning Sentiment analysis KNN Text mining MLP RoBERTa Random forest BART Decision Tree DistilBERT Social media > Economic aspects Machine learning
Accès en ligne:	http://hdl.handle.net/10361/21814

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