World's Best Scientists 2026 revealed!

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Computer Science

D-Index
70
Citations
18991
World Ranking
1880
National Ranking
33

Overview

Chew Lim Tan is affiliated with the National University of Singapore in Singapore. Their research primarily focuses on the field of Computer Science, with particular emphasis on Artificial Intelligence.

The scientist's work encompasses several key topics within their field, including:

  • Sentiment Analysis and Opinion Mining
  • Topic Modeling
  • Advanced Text Analysis Techniques

Chew Lim Tan has contributed to the academic community through publications in recognized venues. Recent publication history includes:

  • "Sense Sentiment Similarity: An Analysis" (2021), Proceedings of the AAAI Conference on Artificial Intelligence

Their collaborative efforts feature frequent co-authors such as:

  • Mitra Mohtarami
  • Hadi Amiri
  • Man Lan
  • Thanh Phu Tran

Among the publication venues, the Proceedings of the AAAI Conference on Artificial Intelligence is noted as a frequent venue for their work.

Best Publications

  • Discretization: An Enabling Technique

    Huan Liu;Farhad Hussain;Chew Lim Tan;Manoranjan Dash

  • Supervised and Traditional Term Weighting Methods for Automatic Text Categorization

    Man Lan;Chew Lim Tan;Jian Su;Yue Lu

  • A case study on using neural networks to perform technical forecasting of forex

    Jingtao Yao;Chew Lim Tan

  • A robust arbitrary text detection system for natural scene images

    Anhar Risnumawan;Palaiahankote Shivakumara;Chee Seng Chan;Chew Lim Tan

  • Recognizing Text with Perspective Distortion in Natural Scenes

    Trung Quy Phan;Palaiahnakote Shivakumara;Shangxuan Tian;Chew Lim Tan

  • Robust Document Image Binarization Technique for Degraded Document Images

    Bolan Su;Shijian Lu;Chew Lim Tan

  • A Laplacian Approach to Multi-Oriented Text Detection in Video

    P Shivakumara;Trung Quy Phan;Chew Lim Tan

  • Binarization of historical document images using the local maximum and minimum

    Bolan Su;Shijian Lu;Chew Lim Tan

  • Recognizing names in biomedical texts: a machine learning approach

    Guodong Zhou;Jie Zhang;Jian Su;Dan Shen

  • Document image binarization using background estimation and stroke edges

    Shijian Lu;Bolan Su;Chew Lim Tan

  • Option price forecasting using neural networks

    Jingtao Yao;Yili Li;Chew Lim Tan

  • NEURAL NETWORKS FOR TECHNICAL ANALYSIS: A STUDY ON KLCI

    Jingtao Yao;Chew Lim Tan;Hean-Lee Poh

  • Multi-Criteria-based Active Learning for Named Entity Recognition

    Dan Shen;Jie Zhang;Jian Su;Guodong Zhou

  • Text Flow: A Unified Text Detection System in Natural Scene Images

    Shangxuan Tian;Yifeng Pan;Chang Huang;Shijian Lu

  • Coreference Resolution Using Competition Learning Approach

    Xiaofeng Yang;Guodong Zhou;Jian Su;Chew Lim Tan

  • Blurred image region detection and classification

    Bolan Su;Shijian Lu;Chew Lim Tan

  • A comprehensive comparative study on term weighting schemes for text categorization with support vector machines

    Man Lan;Chew-Lim Tan;Hwee-Boon Low;Sam-Yuan Sung

  • Initialization of cluster refinement algorithms: a review and comparative study

    Ji He;Man Lan;Chew-Lim Tan;Sam-Yuan Sung

  • Effective Adaptation of Hidden Markov Model-based Named Entity Recognizer for Biomedical Domain

    Dan Shen;Jie Zhang;Guodong Zhou;Jian Su

  • On Quantitative Evaluation of Clustering Systems.

    Ji He;Ah-Hwee Tan;Chew Lim Tan;Sam Yuan Sung

Frequent Co-Authors

Palaiahnakote Shivakumara
Palaiahnakote Shivakumara University of Salford
Shijian Lu
Shijian Lu Nanyang Technological University
Jian Su
Jian Su Institute for Infocomm Research
Tong Lu
Tong Lu Nanjing University
Umapada Pal
Umapada Pal Indian Statistical Institute
Guodong Zhou
Guodong Zhou Soochow University
Donghong Ji
Donghong Ji Wuhan University
Ashraf A. Kassim
Ashraf A. Kassim National University of Singapore
Qi Tian
Qi Tian Huawei Technologies (China)
Terence Sim
Terence Sim National University of Singapore

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