Sentiment analysis system for social media text
In this design project, we would like to design our sequence labelling model for informal texts using the hidden Markov model (HMM). The sequence labelling system for informal texts can serve as the very first step towards building a more complex, intelligent sentiment analysis system for social media text.
Algorithms implemented include the Viterbi algorithm, alternative max-marginal decoding algorithm, and a modified Perceptron algorithm.
Group members:
- Joshua Lim Wen Yao
- Burindy Yeo
- Pinardy Yang