Sorry, we do not have enough data to show an influence graph for this author.
Sentiment classification plays an important role in Sentiment Analysis. It is challenging to develop an automatic method for classification problems without annotated training data. In this paper, we present a WWE (weighted word embeddings) method, which uses a continuous word representations algorithm (Word2Vec) to train a vector model. According to the… (More)
Sentiment classification has gained much attention in big data era. Most existing methods rely on bag-of-words model, which disregard contextual information. In many cases however, the sentiment strength of a word is implicitly associated with its part of speech and context. In this paper, we present a WWE (weighted word embeddings) method that combines… (More)