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.

Bibliografiska uppgifter
Huvudupphovsmän:	Karim, Shabab, Abdullah, Tahmid, Tayaba, Umme
Övriga upphovsmän:	Majumdar, Mahbub Alam
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	BRAC University 2018
Ämnen:	Stock market Sentiment analysis Classi er Regression Machine learning Logistic regression Tweets
Länkar:	http://hdl.handle.net/10361/10153

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