Underthesea 1.1.6
✨ Major Features and Improvements
- NEW: Implement a Vietnamese aspect sentiment analysis in banking social data.
- NEW: Improve languageflow project with new models (KimCNNCLassifier, XGBoostClassifier), develop LanguageBoard to visualize and inspect features and trained models.
🔴 Bug fixes
- Fix bug tokenize string with "=" (#159)
🗎 Documentation and examples
- Create a live demo of aspect sentiment analysis http://magizbox.com:9386/#!/sentiment
🔊 Release Notes
The main feature in this release is aspect sentiment analysis. We conduct a banch of experiments with social posts data in bank domain. Traditional classifiers such as SVM, Naive Bayes, Gradient Boosting Tree with count features and tfidf features still yield the better result (59.5% in f1 score), compare with deep learning models like fasttext and CNN. You can view live demo of Vietnamese aspect sentiment analysis in underthesea service
We rename underthesea-flow project to languageflow, integrate new models (KimCNNCLassifier, XGBoostClassifier). See more detail in languageflow documentation