Get more Emotional Words with Word Vectors

Sentiment words play an important role in sentiment classification research. In sentiment analysis and classification research, sometimes it is necessary to obtain as many sentiment words as possible. Open source word vector datasets usually have a huge vocabulary that contains rich sentiment words. Sentiment words can be obtained using vectors and a large number of words in open source word vectors. In this paper, given sentiment words, such as sentiment words in the dictionary, are used as seed words, and then the word similarity algorithm is used. From the open source word vector data set, the words similar to the target sentiment words are searched, and the sentiment words are obtained through manual labeling and filtering. Experiments show that this method is an efficient and low-cost method to obtain sentiment words.