Now showing items 1-4 of 4

    • Acomparative study of machine learning allgorithms for sentiment analysis of game reviews 

      Tan, Jie Ying; Chow, Andy Sai Kit; Tan, Chi Wee (The Institution of Engineers, Malaysia (IEM), 2022)
      Sentiment analysis, also known as opinion mining, is the process of analysing a body of text to determine the sentiment expressed by it. In this study, Natural Language Processing techniques and Machine Learning algorithms ...
    • Deep learning & hybrid model - the future of medical image watermarking 

      Chi, Wee Tan; Yew, Lee Wong; Jia, Cheng Loh; Chen, Zhen Li (The Institution of Engineers, Malaysia (IEM), 2022)
      The frequent usage of medical records in electronic form has made Medical Image Watermarking (MIW) relatively more significant than it used to be. MIW is very significant to preserve the completeness and integrity of the ...
    • Flower recognition model based on deep neural network with VGG19 

      Zi, Yuan Ong; Kah, Kien Chye; Huay, Wen Kang; Chi, Wee Tan (The Institution of Engineers, Malaysia (IEM), 2022)
      Computer vision is one way to streamline processes like robotic process automation and digital asset management. It has come a long way in terms of its capabilities and what it can provide and do for different industries. ...
    • Sentiment analysis on Malaysian airlines with BERT 

      Huay, Wen Kang; Kah, Kien Chye; Zi, Yuan Ong; Chi, Wee Tan (The Institution of Engineers, Malaysia (IEM), 2022)
      Sentiment analysis has been a popular research area in Natural Language Processing (NLP), where sentiments expressed through text data including positive, negative and neutral sentiments are analyzed and predicted. It is ...