Aspect Term Extractor for the competition SemEval-2014 Task 4 on Aspect Based Sentiment Analysis.
Bi-LSTM followed by a CRF layer has been applied for the task of aspect term extraction. As a second time, additional features such as part-of-speech tags, named-entity tags and WordNet hypernyms. Performances have been improved by 0.02 F1-Score for Laptop dataset and 0.69 F1-Score for Restaurant dataset.
Tensorflow code inspired from .
