A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Short Text Sentiment Analysis Based on Multi-Channel CNN With Multi-head Attention Mechanism
2021
IEEE Access
In view of the limited text features of short texts, features of short texts should be mined from various angles, and multiple sentiment feature combinations should be used to learn the hidden sentiment information. A novel sentiment analysis model based on multi-channel convolutional neural network with multi-head attention mechanism (MCNN-MA) is proposed. This model combines word features with part of speech features, position features and dependency syntax features separately to form three
doi:10.1109/access.2021.3054521
fatcat:juhpkfiinvgcpo4rmnh3ht7xnq