Now showing items 1-12 of 12

    • Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis 

      Shourin, Bushra; Shawgat, Kazi Sayef; Chowdhury, Serajur Reza (BRAC University, 2018-04)
      In this modern age where providing and consuming services through online exchange has become a daily chore, everyone loves to participate and give opinions about the services he or she consumes. Nowadays this participation ...
    • Aspect-based sentiment analysis using SemEval and Amazon datasets 

      Hasib, Tamanna; Rahin, Saima Ahmed (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 ...
    • An effective machine learning approach for sentiment analysis of restaurant reviews 

      Karim, Rabita (BARC University, 2016-08)
      Sentiment analysis or opinion analysis is creating a vast area of research in this modern era of social media. Various blogs and Social Medias (Facebook, twitter, Instagram) are the most popular platform for the users or ...
    • Embedded system based bangla intelligent social virtual robot with sentiment analysis 

      Hossain, Md. Ishan Arefin; Hossain, Ismail; Hossain, Md. Yousuf; Banik, Mridul (BRAC University, 2018-04)
      Bangla is the mother tongue of millions of people all over the world. Despite of being a very popular language, any social virtual robot that can intelligently communicate in Bangla is a fairytale till now. One of the main ...
    • Feature based mobile phone rating using sentiment analysis and machine learning approaches 

      Kafi, Abdullahil; Alam, Md. Shaikh Ashikul; Hossain, Sayeed Bin; Awal, Siam Bin (2018)
      This project proposes a model of sentiment analysis of different features of different company’s mobile sets and rating them overall. Customers before buying a phone check reviews to get a better understanding of the device ...
    • A machine learning approach to predict movie box-office success 

      Quader, Nahid; Gani, MD. Osman (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 ...
    • Performing sentiment analysis in Bangla microblog posts 

      Chowdhury, Shaika; Chowdhury, Wasifa (© 2014 IEEE Computer Society, 2014)
      Much of the research work on sentiment analysis has been carried out in the English language, but work in Bangla is limited to only news corpus and blogs. Microblogging sites are becoming a valuable source for publishing ...
    • Predicting stock market movement using sentiment analysis of twitter feed 

      Chakraborty, Pranjal; Rony, Rashad Al Hasan; Pria, Ummay Sani (BRAC University, 2017-04-16)
      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, ...
    • Predicting stock market trend from twitter feed and building a framework for Bangladesh 

      Karim, Shabab; Abdullah, Tahmid; Tayaba, Umme (BRAC University, 2018-04)
      Social media has become an integral part in our day to day lives. What we share in these media are what we believe in and give others a window of opportunity to predict what is going on in our mind or how our actions ...
    • Product rating generation based on public opinion using sentiment analysis 

      Rabbi, Reshan Ahmed; Khan, Md. Walid Amin; Shaown, Md.; Alam, Md. Shajidul (BRAC University, 2017-12-24)
      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, ...
    • Sentiment analysis for Bengali newspaper headlines 

      Hossain, Mohammad Samman; Jui, Israt Jahan; Suzana, Afia Zahin (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 ...
    • Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments 

      Rahman, Shaomi; Hemel, Jonayed Nafis; Anta, Syed Junayed Ahmed; Al Muhee, Hossain (BRAC University, 2018-04)
      Analyzing sentiments has been widely regarded as a popular technique by many researchers, and Twitter nominated the most user-friendly, and reliable social media supplying the stream of sentiments. Among the trendiest ...