Author:
Pradeepa S.,Manjula K. R.
Publisher
Springer International Publishing
Reference33 articles.
1. N.F.F. da Silva, E.R. Hruschka, E.R. Hruschka Jr., Tweet sentiment analysis with classifier ensembles. Decis. Support Syst. 66, 170–179 (2014)
2. N.F.F. da Silva, L.F.S. Coletta, E.R. Hruschka, E.R. Hruschka Jr., Using unsupervised information to improve semi-supervised tweet sentiment classification. Inf. Sci. 355–356, 348–365 (2016)
3. V.K. Neppalli, C. Caragea, A. Squicciarini, A. Tapia, S. Stehle, Sentiment analysis during Hurricane Sandy in emergency response. Int. J. Disaster Risk Reduct. 21, 213–222 (2017)
4. H. Saif, Y. He, M. Fernandez, H. Alani, Contextual semantics for sentiment analysis of Twitter. Inf. Process. Manage. 52(1), 5–19 (2016)
5. T. Chen, X. Ruifeng, Y. He, X. Wang, Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN. Expert Syst. Appl. 72, 221–230 (2017)