Tuan Anh

Also published as: Tuan Anh Le, Tuấn Anh


2016

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Sentiment Analysis for Low Resource Languages: A Study on Informal Indonesian Tweets
Tuan Anh Le | David Moeljadi | Yasuhide Miura | Tomoko Ohkuma
Proceedings of the 12th Workshop on Asian Language Resources (ALR12)

This paper describes our attempt to build a sentiment analysis system for Indonesian tweets. With this system, we can study and identify sentiments and opinions in a text or document computationally. We used four thousand manually labeled tweets collected in February and March 2016 to build the model. Because of the variety of content in tweets, we analyze tweets into eight groups in total, including pos(itive), neg(ative), and neu(tral). Finally, we obtained 73.2% accuracy with Long Short Term Memory (LSTM) without normalizer.

2015

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IMI — A Multilingual Semantic Annotation Environment
Francis Bond | Luís Morgado da Costa | Tuấn Anh Lê
Proceedings of ACL-IJCNLP 2015 System Demonstrations