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Taufik Fuadi Abidin

Hi, I am

Prof. Dr.

Taufik Fuadi Abidin

S.Si., M.Tech

Principal Investigator

Data Mining, Information Retrieval, Text & Web Mining

I am a member of IEEE. I completed my Ph.D in Computer Science from NDSU, USA, in 2006 and completed Master degree in Computer Science from RMIT University, Australia, in 2000. Research interests include big data analysis, data mining, information retrieval, and information extraction.

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Project Contributed

January 21, 2025

Face Recognition (TURiMuka)

Biometrics are unique and specific data about an individual, enabling their identification and authentication. Face-based biometrics are the most stable in determining a person’s identity among various known biometrics. Moreover, face-based biometrics also have the potential to be applied in many fields, such as security, finance, and administration, leading to increased research in face recognition. […]

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January 21, 2025

IndoAcro

We are DMIR (Data Mining and Information Retrieval) Research Group at the Department of Informatics, Faculty of Mathematics and Natural Sciences, Syiah Kuala University, Banda Aceh, Indonesia. We focus on mining and extracting potential and non-trivial information from the sheer volume of digital data generated through various platforms, in order to provide an interpretative support […]

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Researches

January 21, 2025

Transformer-based Indonesian Language Model for Emotion Classification and Sentiment Analysis

Abstract The rapid expansion of social networks has made a vast amount of user-generated data readily available for public analysis. Such data can be leveraged for various purposes, including textual analysis of comments and reviews. This study utilizes a variant of the Bidirectional Encoder Representations from Transformers (BERT) model, specifically designed for Bahasa Indonesia (IndoBERT), […]

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January 21, 2025

Hybrid Models for Emotion Classification and Sentiment Analysis in Indonesian Language

Abstract The swift growth of social networks has enabled easy access to a wealth of user-created information for public assessment. These data hold potential for various uses, including analyzing comments and reviews through text analysis. The study utilizes a specialized version of the Bidirectional Encoder Representations from Transformers (BERT) model known as IndoBERT, tailored explicitly […]

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