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

Internet

http://hdl.handle.net/10361/21814

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