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.

Détails bibliographiques
Auteurs principaux:	Karim, Shabab, Abdullah, Tahmid, Tayaba, Umme
Autres auteurs:	Majumdar, Mahbub Alam
Format:	Thèse
Langue:	English
Publié:	BRAC University 2018
Sujets:	Stock market Sentiment analysis Classi er Regression Machine learning Logistic regression Tweets
Accès en ligne:	http://hdl.handle.net/10361/10153

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