Predicting stock market trend from twitter feed and building a framework for Bangladesh

Predicting stock market trend from twitter feed and building a framework for Bangladesh

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Detalles Bibliográficos
Main Authors: Karim, Shabab, Abdullah, Tahmid, Tayaba, Umme
Outros autores: Majumdar, Mahbub Alam
Formato: Thesis
Idioma:English
Publicado: BRAC University 2018
Subjects:
Stock market
Sentiment analysis
Classi er
Regression
Machine learning
Logistic regression
Tweets
Acceso en liña:http://hdl.handle.net/10361/10153

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