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.

Detalles Bibliográficos
Autores principales: Khan, Farden Ehsan, Ruhan, Ahmed Mahir, Shamsuddin, Rifat
Otros Autores: Ashraf, Faisal Bin
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2023
Materias:
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
Acceso en línea:http://hdl.handle.net/10361/21814

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