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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Khan, Farden Ehsan, Ruhan, Ahmed Mahir, Shamsuddin, Rifat
Άλλοι συγγραφείς:	Ashraf, Faisal Bin
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2023
Θέματα:	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
Διαθέσιμο Online:	http://hdl.handle.net/10361/21814

Παρόμοια τεκμήρια

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The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction
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Flood prediction using machine learning models
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A machine learning-based approach for data analysis to ascertain suicidal individuals from Social media users
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