Browsing by Subject "Sentiment analysis"

Now showing items 21-29 of 29

    • Sentiment analysis of customer reviews on food ordering portals of Bangladesh using natural language processing 

      Deb, Priom; Bhuiyan, Asibur Rahman; Ahmed, Farhan; Hossain, Md. Rakib; Mahrin, Habiba (Brac University, 2023-09)
      In recent years, online food ordering services have gained popularity by providing customers with suitable and user-friendly platforms for ordering food from restaurants and receiving doorstep delivery. Foodpanda Bangladesh ...

    • Sentiment analysis on Bangladesh airlines review data using machine learning 

      Hasib, Khan Md. (Brac University, 2022-02)
      A common means of transportation in our everyday lives is air travel. As a result, it's no surprise that more and more customers are posting their airline reviews online. However, in the age of machine learning, it would ...

    • 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 ...

    • Sentiment classification on Bengali food and restaurant reviews 

      Hossain, Abid; Sajin, Tanjim Hussain; Bhuiyan, Md Hasibuzzaman; Khan, Farhan Akbor; Anka, Sankalpa (Brac University, 2024-01)
      Sentiment analysis, a critical facet of Natural Language Processing (NLP), plays a pivotal role in decoding human emotions conveyed through text. Despite extensive research in sentiment analysis for widely spoken languages, ...

    • Sentimental analysis on political speeches 

      Atiq, Asif; Abeed, Abrar Shahriar; Efat, Azher Ahmed; Momin, Armanul (Brac University, 2022-01)
      Politics is an essential part of human society. From the start of human civilization, politics has controlled every human society. Political speeches have had one of the most influential roles in shaping the world. ...

    • Share market forecasting with LSTM neural network and sentimental trend prediction 

      Rony, Ismail Hossain; Anik, Ahsan Ahmed; Asif, Abdullah Al; Muhammad, Sayeed (Brac University, 2019-09)
      Forecasting and predicting future trend is getting signi cant importance in stock market exponently as it is volatile in nature. Stock market is an extremely complicated , unstable and volatile place due to the fact that ...

    • Social media sentiment study on COVID-19 outbreak 

      Karmaker, Anik; Hafiz, Nayeem Mohammad; Chanda, Anir (Brac University, 2021-06)
      On 11th March 2020, the World Health Organization announced the COVID19 outbreak as a pandemic. Starting from China, this virus has infected and killed thousands of people from Italy, Spain, the USA, Iran, and other ...

    • Social media trend analysis to predict the success of products using deep learning technique 

      Khan, Farden Ehsan; Ruhan, Ahmed Mahir; Shamsuddin, Rifat (Brac University, 2022-09-29)
      In recent times, social media usage has reached such heights that it has become a powerhouse in producing trends, bringing such topics that would have remained outside of popular consciousness. Our goal is to analyze how ...

    • Text classification with an efficient preprocessing technique for cross-language and multilingual data 

      Khan, Towhid; Mallick, David Dew; Khan, Md.Shakiful Islam; Hasan, Md Mahadi (Brac University, 2022-09-28)
      The procedure of eradicating extraneous textual elements and preparing or process- ing the values to be fed into the classifier model is often indicates the concept of text-preprocessing. There are several preprocessing ...