Sentim at SemEval-2019 Task 3: Convolutional Neural Networks For Sentiment in Conversations
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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