Senti2Vec: an effective feature extraction technique for sentiment analysis based on Word2Vec

• Main Authors: M.Alshari, Eissa, Azman, Azreen, Doraisamy, Shyamala, Mustapha, Norwati, Alksher, Mostafa
• Format: Article
• Published: University of Malaya * Faculty of Computer Science and Information Technology 2020
• Online Access: http://psasir.upm.edu.my/id/eprint/85796/; https://ejournal.um.edu.my/index.php/MJCS/article/view/25280

The discovery of an active feature extraction technique has been the focus of many researchers to improve the performance of classification methods, such as for sentiment analysis. Many of them have shown interest in using word embeddings especially Word2Vec as the features for text classification t...