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.

Bibliografski detalji
Glavni autori: Khan, Farden Ehsan, Ruhan, Ahmed Mahir, Shamsuddin, Rifat
Daljnji autori: Ashraf, Faisal Bin
Format: Disertacija
Jezik:English
Izdano: Brac University 2023
Teme:
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 pristup:http://hdl.handle.net/10361/21814

Internet

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

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