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TDM Studio

Additional Recommended Reading

Brahma, S., 2018. Improved sentence modeling using suffix bidirectional lstm. arXiv preprint arXiv:1805.07340.

Herzig, J., Shmueli-Scheuer, M. and Konopnicki, D., 2017, October. Emotion detection from text via ensemble classification using word embeddings. In Proceedings of the ACM SIGIR international conference on theory of information retrieval (pp. 269-272).

Mac Kim, S., Valitutti, A. and Calvo, R.A., 2010, June. Evaluation of unsupervised emotion models to textual affect recognition. In Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text (pp. 62-70).

Reimers, N. and Gurevych, I., 2019. Sentence-bert: Sentence embeddings using siamese bert-networks. arXiv preprint arXiv:1908.10084.

Silge, J. and Robinson, D., 2017. Text mining with R: A tidy approach. " O'Reilly Media, Inc.".