Research on an Two-Channel ACNN-LSTM Model for Financial Text Sentiment Analysis

Abstract

This paper proposes a sentiment analysis model based on two-channel attention-driven convolutional neural networks and long short term memory neural networks for financial text. Firstly, this paper uses two different word vector initialization methods to construct classification model by selecting different feature representations and taking full account of the relationship between words. Secondly, this paper adds Attention mechanism based on the context structure to analyze the text to obtain more hidden information. Finally, the experimental results show that our approach is feasible and effective.