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.

Dades bibliogràfiques
Autors principals:	Khan, Farden Ehsan, Ruhan, Ahmed Mahir, Shamsuddin, Rifat
Altres autors:	Ashraf, Faisal Bin
Format:	Thesis
Idioma:	English
Publicat:	Brac University 2023
Matèries:	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
Accés en línia:	http://hdl.handle.net/10361/21814

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