Natural Language Processing, Text Mining and Information Retrieval.
Some slides of final presenataion: (Due to authority and privacy issues, only fews slides are shown.)
The project is related to Twitter's Sentiment Analysis based on Kaggle's contest.
The sentiments are divided to 13 groups in raw data, and our aim is to maximize the accuracy to determine the correct sentiment.
Advisor: Prof. Chien-Chin Chen @NTUIM
Co-workers: Kai-Hsiang Huang, Sze-Chi Wang, Chin-Hua Chang, Tsung-You Hou @NTUIM
