Effective LSTMs for Target-Dependent Sentiment Classification

Understand

Target-dependent sentiment classification remains a challenge: modeling the semantic relatedness of a target with its context words in a sentence.

• Different context words have different influences on determining the sentiment polarity of a sentence towards the target.
• Therefore, it is desirable to integrate the connections between target word and context words when building a learning system.
• In this paper, we develop two target dependent long short-term memory (LSTM) models, where target information is automatically taken into account.