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.

Bibliografische gegevens
Hoofdauteurs:	Karim, Shabab, Abdullah, Tahmid, Tayaba, Umme
Andere auteurs:	Majumdar, Mahbub Alam
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	BRAC University 2018
Onderwerpen:	Stock market Sentiment analysis Classi er Regression Machine learning Logistic regression Tweets
Online toegang:	http://hdl.handle.net/10361/10153

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