1

Did you try Convolutional Neural Networks? Even though, they were introduced for computer vision, they proved to be effective for sentiment analysis as well. You can use this tutorial on building a CNN for sentiment analysis from scratch, if you need.


1

After a long literature review, I was able to answer my question: There are several tasks, so it depends: Aspect extraction: measure the accuracy (or any other metric, usually F1 score) of detecting sushi Opinion extraction: measure the accuracy of detecting good Sentiment classification: measure the accuracy for correctly classifying sushi as Positive End-...


Only top voted, non community-wiki answers of a minimum length are eligible