@inproceedings{anderson-2019-sentim,
title = "Sentim at {S}em{E}val-2019 Task 3: Convolutional Neural Networks For Sentiment in Conversations",
author = "Anderson, Jacob",
booktitle = "Proceedings of the 13th International Workshop on Semantic Evaluation",
month = jun,
year = "2019",
address = "Minneapolis, Minnesota, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/S19-2052",
doi = "10.18653/v1/S19-2052",
pages = "302--306",
abstract = "In this work convolutional neural networks were used in order to determine the sentiment in a conversational setting. This paper{'}s contributions include a method for handling any sized input and a method for breaking down the conversation into separate parts for easier processing. Finally, clustering was shown to improve results and that such a model for handling sentiment in conversations is both fast and accurate.",
}
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%0 Conference Proceedings
%T Sentim at SemEval-2019 Task 3: Convolutional Neural Networks For Sentiment in Conversations
%A Anderson, Jacob
%S Proceedings of the 13th International Workshop on Semantic Evaluation
%D 2019
%8 jun
%I Association for Computational Linguistics
%C Minneapolis, Minnesota, USA
%F anderson-2019-sentim
%X In this work convolutional neural networks were used in order to determine the sentiment in a conversational setting. This paper’s contributions include a method for handling any sized input and a method for breaking down the conversation into separate parts for easier processing. Finally, clustering was shown to improve results and that such a model for handling sentiment in conversations is both fast and accurate.
%R 10.18653/v1/S19-2052
%U https://aclanthology.org/S19-2052
%U https://doi.org/10.18653/v1/S19-2052
%P 302-306
Markdown (Informal)
[Sentim at SemEval-2019 Task 3: Convolutional Neural Networks For Sentiment in Conversations](https://aclanthology.org/S19-2052) (Anderson, SemEval 2019)
ACL