Author:
Jaitly Gaurika,Kapil Manoj
Reference21 articles.
1. Chen, T., Xu, R., He, Y., Wang, X.: Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN. Exp. Syst. Appl. 72, 221–230 (2017)
2. Baziotis, C., Pelekis, N., Doulkeridis, C.: Datastories at semeval-2017 task 4: Deep lstm with attention for message-level and topic-based sentiment analysis. In: Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pp. 747–754 (2017)
3. Cambria, E., Das, D., Bandyopadhyay, S., Feraco, A.: A Practical Guide to Sentiment Analysis. Springer International Publishing, Cham, Switzerland (2017)
4. Giatsoglou, M., Vozalis, M.G., Diamantaras, K., Vakali, A., Sarigiannidis, G., Chatzisavvas, K.C.: Sentiment analysis leveraging emotions and word embeddings. Exp. Syst. Appl. 69, 214–224 (2017)
5. Yadollahi, A., Shahraki, A.G., Zaiane, O.R.: Current state of text sentiment analysis from opinion to emotion mining. ACM Comput. Surv. (CSUR) 50(2) (2017)
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