LSTM

Attention-Based BiLSTM Network with Lexical Feature for Emotion Classification

Emotion classification is an important task for identifying users' emotional expressions in text. Though a variety of neural models have been proposed nowadays, these models mainly focus on modeling the content of words or characters without fully …

An Empirical Study of Emotion Analysis with Different Distributed Representation Methods for Chinese Microblogs

Distributed representation of text has the ability to effectively express the meaning of text. Up to now, most studies have adopted distributed representation methods for emotion analysis on Chinese microblogs without systematically comparing and …