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.

Bibliographic Details
Main Authors: Khan, Farden Ehsan, Ruhan, Ahmed Mahir, Shamsuddin, Rifat
Other Authors: Ashraf, Faisal Bin
Format: Thesis
Language:English
Published: Brac University 2023
Subjects:
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
Online Access:http://hdl.handle.net/10361/21814

Internet

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

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