Abstract
In this paper, we present a system description for implementing a sentiment analysis agent capable of interpreting the state of an interlocutor engaged in short three message conversations. We present the results and observations of our work and which parts could be further improved in the future.
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CITATION STYLE
APA
Simionescu, C., Stoleru, I., Lucaci, D., Balan, G., Bute, I., & Iftene, A. (2019). UAIC at SemEval-2019 task 3: Extracting much from little. In NAACL HLT 2019 - International Workshop on Semantic Evaluation, SemEval 2019, Proceedings of the 13th Workshop (pp. 355–359). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s19-2062
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