Sentiment Composition

This paper proposes neural networks for inte- grating compositional and non-compositional sentiment in the process of sentiment compo- sition, a type of semantic composition that op- timizes a sentiment objective. …...

Recurrent neural networks, particularly long short-term memory (LSTM), have recently shown to be very effective in a wide range of sequence modeling problems, core to which is effective learning of …...

In this paper, we explore sentiment composi- tion in phrases that have at least one positive and at least one negative word—phrases like happy accident and best winter break. We …...

AbstractSentiment composition is a fundamental sentiment analysis problem. Previous work relied on manual rules and manually-created lexical resources such as negator lists, or learned a composition function from sentiment-annotated phrases …...