Social_Media/Stance-Detection-in-Web-and-Social-Media
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@ -4,3 +4,6 @@ To run the model for SemEval dataset : python SVM.py
To run the model for MPCHI dataset : python SVM_mpchi.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 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.