Chun Wei Seah

Contrastive Disentanglement for Authorship Attribution

Zhiqiang Hu, Thao Thanh Nguyen, Yujia Hu, Chia-Yu Hung et autres

Authorship Attribution (AA) seeks to determine the authorship of texts by examining distinctive writing styles. Although current AA methods have shown promising results, they often underperform in scenarios with significant topic shifts. This limitation arises from their inability to effectively separate topical …

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Interpretable Sock Puppet Attribution

Chun Wei Seah, Chia-Yu Hung, Yujia Hu, Hai Leong Chieu et autres

The intentional spread of misinformation can have serious consequences in our society. This motivates us to address the task of identifying sock puppet accounts (i.e. fabricated online personas) created by individuals or organizations with the intention of deceiving their target audience. By …

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Online Continual Knowledge Learning for Language Models

Yuhao Wu, Tongjun Shi, Karthick Sharma, Chun Wei Seah et autres

Large Language Models (LLMs) serve as repositories of extensive world knowledge, enabling them to perform tasks such as question-answering and fact-checking. However, this knowledge can become obsolete as global contexts change. In this paper, we introduce a novel problem in the realm …

SentiStream: A Co-Training Framework for Adaptive Online Sentiment Analysis in Evolving Data Streams

Yuhao Wu, Karthick Sharma, Chun Wei Seah, Shuhao Zhang

Online sentiment analysis has emerged as a crucial component in numerous datadriven applications, including social media monitoring, customer feedback analysis, and online reputation management.Despite their importance, current methodologies falter in effectively managing the continuously evolving nature of data streams, largely due to …

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Finding Achilles' Heel

Deepak Kumar, Chetan Kumar, Chun Wei Seah, Siyu Xia et autres

Neural network-based models are notoriously known for their adversarial vulnerability. Recent adversarial machine learning mainly focused on images, where a small perturbation can be simply added to fool the learning model. Very recently, this practice has been explored in human action video …

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Troll detection by domain-adapting sentiment analysis

Chun Wei Seah, Hai Leong Chieu, Kian Ming A. Chai, Loo-Nin Teow et autres

A troll is a user intent on sowing discord on the internet. We propose an approach to detect such users from the sentiment of the textual content in online forums. Since trolls typically express negative sentiments in their posts, we derive features …

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Exploiting auxiliary data for designing reliable classifier in domain adaptation

Chun Wei Seah

To date, many practical realizations of machine intelligence are making their way as important tools that assist humans in their decision making process. A motivating example is sentiment rating prediction on user reviews, as a tool for crafting novel marketing strategies on …