Levy and Goldberg (2014a) propose dependency-based context (DEP-S) for CSG.
similarly to the previous evaluation of sequence labeling tasks, instead of building complex deep neural networks, we use a simpler classification method called Neural Bag-of-Words (Li et al., 2017) to directly evaluate the word embeddings: texts are first represented by the sum of their word vectors, then a Logistic Regression Classifier (the same as that in previous subsection)   (Pang and Lee, 2005), customer product reviews (CR) (Nakagawa et al., 2010), and subjectivity/objectivity classification (sUBJ) (Pang and Lee, 2004).