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A machine learning approach to predict movie box-office success
(BRAC University, 2017)
Making a prediction of society’s reaction to a new product in the sense of popularity and adaption rate has become an emerging field of data analysis. The motion picture industry is a multi-billion dollar business. And ...
Product rating generation based on public opinion using sentiment analysis
(BRAC University, 12/24/2017)
In modern days, people tend to check reviews and opinions on a product before buying.
The main goal of our system is according to the public opinion of a product, give a rating to
the product on a scale of 0 to 10. Also, ...
Aspect-based sentiment analysis using SemEval and Amazon datasets
(BRAC University, 2017)
Sentiment analysis has become one of the most important tools in natural language processing, since it opens many possibilities to understand people’s opinions on different topics. Aspect-based sentiment analysis aims to ...
Predicting stock market movement using sentiment analysis of twitter feed
(BRAC University, 4/16/2017)
Collecting opinions of mass people through the social networking sites has become easy and handy now-a-days. These opinions show the sentimental state of a large number of people, which, according to behavioral economics, ...
Sentiment analysis for Bengali newspaper headlines
(BRAC University, 2017)
In this project, we propose a system that assigns scores indicating positive or negative to newspaper headlines. Many works have been done on sentiment analysis, document clustering for newspaper headlines in English. We ...