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.

Bibliografische gegevens
Hoofdauteurs: Khan, Farden Ehsan, Ruhan, Ahmed Mahir, Shamsuddin, Rifat
Andere auteurs: Ashraf, Faisal Bin
Formaat: Thesis
Taal:English
Gepubliceerd in: Brac University 2023
Onderwerpen:
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 toegang:http://hdl.handle.net/10361/21814

Internet

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

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