Target-dependent Sentiment Analysis of Tweets using a Bi-directional Gated Recurrent Unit

Targeted sentiment analysis classifies the sentiment polarity towards a certain target in a given text. In this paper, we propose a target-dependent bidirectional gated recurrent unit (TD-biGRU) for target-dependent sentiment analysis of tweets. The proposed model has the ability to represent the interaction between the targets and their contexts. We have evaluated the effectiveness of the proposed model on a benchmark dataset from Twitter. The experiments show that our proposed model outperforms the state-of-the-are methods for target-dependent sentiment analysis.