Multitask Learning for Fine-Grained Twitter Sentiment Analysis

12 Jul 2017  ·  Georgios Balikas, Simon Moura, Massih-Reza Amini ·

Traditional sentiment analysis approaches tackle problems like ternary (3-category) and fine-grained (5-category) classification by learning the tasks separately. We argue that such classification tasks are correlated and we propose a multitask approach based on a recurrent neural network that benefits by jointly learning them... Our study demonstrates the potential of multitask models on this type of problems and improves the state-of-the-art results in the fine-grained sentiment classification problem. read more

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