Now showing items 1-3 of 3

    • A hybrid based model on LSTM-CNN to multi-class emotion analysis on social networking dataset 

      Chowdhury, Ibtehaz Ali; Dewan, Eshad; Jishan, TM Nafi z Mahmood; Kabir, Samiul; Mazumder, Joyasish (Brac University, 2021-01)
      Sentiment analysis from texts has been a major research eld in NLP. However, most of the studies are on binary (positive and negative) classi cation of the texts. While researching, we found that the accuracy of multi-class ...
    • Text classification using machine learning algorithms 

      Hasnat, Fahim; Hasan, Md. Mazidul; Khan, Nayeem Hasan; Ali, Asif (BRAC University, 8/2/2018)
      Financial, educational and communal activities produce enormous amount of data. Automatic text classification has significant application in content organization, point of view extraction, evaluation analysis, spam filtering ...
    • What is relevant in a text document a machine learning based approach 

      Mahmud, Abdullah Al; Noor, Jannat-E; Reshad, Sadman Alam; Fuad, Syed Nafis (Brac University, 2021-06)
      Text Documents often contain valuable data. But not all data is relevant. That is why extracting relevant data from text documents is an essential task. Extracting relevant data from text documents refers to the study ...