APA (7th ed.) Citation

M.Alshari, E., Azman, A., Doraisamy, S., Mustapha, N., & Alksher, M. (2020). Senti2Vec: An effective feature extraction technique for sentiment analysis based on Word2Vec. University of Malaya * Faculty of Computer Science and Information Technology.

Chicago Style (17th ed.) Citation

M.Alshari, Eissa, Azreen Azman, Shyamala Doraisamy, Norwati Mustapha, and Mostafa Alksher. Senti2Vec: An Effective Feature Extraction Technique for Sentiment Analysis Based on Word2Vec. University of Malaya * Faculty of Computer Science and Information Technology, 2020.

MLA (9th ed.) Citation

M.Alshari, Eissa, et al. Senti2Vec: An Effective Feature Extraction Technique for Sentiment Analysis Based on Word2Vec. University of Malaya * Faculty of Computer Science and Information Technology, 2020.

Warning: These citations may not always be 100% accurate.