PatternTutorial

A Graph-based Pattern Representations with tutorial

Easy Reading Tutorial: nbviewer

Tutorial Slides: Google Slides

GitHub Repo: IDEA-NTHU-Taiwan/PatternTutorial

Example Dataset: SemEval 2017 Task

Libraries requirements

matplotlib, networkx, nltk, numpy, pandas, IDEAlib (in this repo)

Developping

for developer

PatternTutorial$ pip3 install --user --editable .

References

Argueta Carlos, Elvis Saravia, and Yi-Shin Chen. "Unsupervised graph-based patterns extraction for emotion classification." In 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 336-341. IEEE, 2015.

Argueta Carlos, Fernando H. Calderon, and Yi-Shin Chen. "Multilingual emotion classifier using unsupervised pattern extraction from microblog data." Intelligent Data Analysis 20, no. 6 (2016): 1477-1502.

Saravia Elvis, Carlos Argueta, and Yi-Shin Chen. "Unsupervised graph-based pattern extraction for multilingual emotion classification." Social Network Analysis and Mining 6, no. 1 (2016): 92.

Saravia Elvis, Hsien-Chi Toby Liu, Yen-Hao Huang, Junlin Wu, and Yi-Shin Chen. "CARER: Contextualized Affect Representations for Emotion Recognition." In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp. 3687-3697. 2018.

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TODO

2. graph minus
3. Unit testing
4. diversty & label (tfief part)
5. integrate the type of pattern (now we have list, tuple, str XD)
6. speedup cc (graph things)