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Stance-Detection-in-Web-and.../SEN-SVM
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shalmolighosh 3e92a073e9
Update README.md
2019-06-19 23:52:13 +05:30
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README.md Update README.md 2019-06-19 23:52:13 +05:30
sentiment_api_2.py added SEN-SVM codes 2019-06-18 22:16:04 +05:30
STA_features.py added SEN-SVM codes 2019-06-18 22:16:04 +05:30
SVM_mpchi.py Update SVM_mpchi.py 2019-06-19 23:16:55 +05:30
SVM.py added SEN-SVM codes 2019-06-18 22:16:04 +05:30
te_f.py added SEN-SVM codes 2019-06-18 22:16:04 +05:30

README.md

Usage

To run the model for SemEval dataset : python SVM.py

To run the model for MPCHI dataset : python SVM_mpchi.py

The folder final_feature_set contains all extracted features. Note that medical feature has not been extracted for SemEval dataset.

The features can be extracted by running the 3 codes STA_features.py, te_f.py and Sentiment_API_2.py on individual datasets. While extracting the sentiment feature the StanfordCoreNLP server is needed to be run.