Browsing IEM Journal by Author "Chi, Wee Tan"

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    • Automatic identification of light verb constructions: a review 

      Kathleen Swee, Neo Tan; Tong, Ming Lim; Chi, Wee Tan; Wei, Wei Chew (The Institution of Engineers, Malaysia (IEM), 2022)
      Light verb constructions (LVC) are complex predicates that are present in many languages. They belong to the Multiword Expression (MWE) category known as verbal MWEs and has the canonical form of verb+noun. Examples of ...

    • 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 ...

    • Extractive summarization on food reviews 

      Yuen, Kei Khor; Chi, Wee Tan; Tong, Ming Lim (The Institution of Engineers, Malaysia (IEM), 2022)
      Text summarization is a technique to summarize the content of a sizeable text but meanwhile, it keeps the key information. Extractive summarization and abstractive summarization are the main techniques for text summarization. ...

    • 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 ...