Self-Attentive Sentimental Sentence Embedding For Sentiment Analysis
Sheng-Chieh Lin, Wen-Yuh Su, Po-Chuan Chien, Ming-Feng Tsai, Chuan-Ju Wang
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04 May 2020
We propose the use of a word-level sentiment bidirectional LSTM in tandem with the self-attention mechanism for sentence-level sentiment prediction. In addition to the pro- posed model, we also present a finance report dataset for sentence-level financial risk detection. Experiments con- ducted on the proposed dataset together with two public review datasets attest the effectiveness of our model for sen- tence sentiment prediction.
