Radical-Based Hierarchical Embeddings for Chinese Sentiment Analysis at Sentence Level

By Haiyun Peng, Erik Cambria, Xiaomei Zou. 2017

35 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Devamanyu Hazarika
2. Soujanya Poria
3. Erik Cambria
4. Tom Young
5. Navonil Majumder
6. Amir Zadeh
7. Percy Liang
8. Deepanway Ghosal

Citations in the corpus

• Recent Trends in Deep Learning Based Natural Language Processing (2017, background): “For example, (Peng et al., 2017) proved that radical-level processing could greatly improve sentiment classification performance.”
• Recent Trends in Deep Learning Based Natural Language Processing [Review Article] (2018, background): “[35] proved that radical-level processing could greatly improve sentiment classification performance.”