Emoji-aware Co-attention Network with EmoGraph2vec Model for Sentiment Anaylsis

10/27/2021
by   Xiaowei Yuan, et al.
0

In social media platforms, emojis have an extremely high occurrence in computer-mediated communications. Many emojis are used to strengthen the emotional expressions and the emojis that co-occurs in a sentence also have a strong sentiment connection. However, when it comes to emoji representation learning, most studies have only utilized the fixed descriptions provided by the Unicode Consortium, without consideration of actual usage scenario. As for the sentiment analysis task, many researchers ignore the emotional impact of the interaction between text and emojis. It results that the emotional semantics of emojis cannot be fully explored. In this work, we propose a method to learn emoji representations called EmoGraph2vec and design an emoji-aware co-attention network that learns the mutual emotional semantics between text and emojis on short texts of social media. In EmoGraph2vec, we form an emoji co-occurrence network on real social data and enrich the semantic information based on an external knowledge base EmojiNet to obtain emoji node embeddings. Our model designs a co-attention mechanism to incorporate the text and emojis, and integrates a squeeze-and-excitation (SE) block into a convolutional neural network as a classifier. Finally, we use the transfer learning method to increase converge speed and achieve higher accuracy. Experimental results show that the proposed model can outperform several baselines for sentiment analysis on benchmark datasets. Additionally, we conduct a series of ablation and comparison experiments to investigate the effectiveness of our model.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/27/2021

Emoji-based Co-attention Network for Microblog Sentiment Analysis

Emojis are widely used in online social networks to express emotions, at...
research
06/10/2022

Emoji-based Fine-grained Attention Network for Sentiment Analysis in the Microblog Comments

Microblogs have become a social platform for people to express their emo...
research
07/20/2018

Twitter Sentiment Analysis via Bi-sense Emoji Embedding and Attention-based LSTM

Sentiment analysis on large-scale social media data is important to brid...
research
09/14/2017

Cross-Platform Emoji Interpretation: Analysis, a Solution, and Applications

Most social media platforms are largely based on text, and users often w...
research
03/03/2021

EmoWrite: A Sentiment Analysis-Based Thought to Text Conversion

Brain Computer Interface (BCI) helps in processing and extraction of use...
research
06/19/2021

Hybrid approach to detecting symptoms of depression in social media entries

Sentiment and lexical analyses are widely used to detect depression or a...
research
06/05/2022

Sentiment Analysis of Online Travel Reviews Based on Capsule Network and Sentiment Lexicon

With the development of online travel services, it has great application...

Please sign up or login with your details

Forgot password? Click here to reset