Pingdingshan University

output

20162025

most citedImproving Twitter Sentiment Classification via Multi-Level Sentiment-Enriched Word Embeddings

92 citations

researchers with a paper here

Dong-Hong Ji2 · h 34
Shu-Feng Xiong2 · h 12
Donghong Ji1
Hai-Lian Lv1 · h 2
Hua Wang1 · h 22
Jia-Yi Cao1 · h 2
Wei-Ting Zhao1 · h 3
Xian-Xian Cao1 · h 2
Xiaodong Zhang1 · h 29
Xiao-Jun Sun1 · h 3
Yinxia Lou1
Yu Yang1 · h 9

collaborating institutions

Wuhan UniversityCN2 papers
Dalian Maritime UniversityCN1 paper
Georgia Southern UniversityUS1 paper
Shanghai Jiao Tong UniversityCN1 paper
Singapore University of Technology and DesignSG1 paper

Showing 2016Show all

2 papers · 1 filter

cs.CL2016★ 92 cited

Improving Twitter Sentiment Classification via Multi-Level Sentiment-Enriched Word Embeddings

Shufeng Xiong

Most of existing work learn sentiment-specific word representation for improving Twitter sentiment classification, which encoded both n-gram and distant supervised tweet sentiment…

cs.CL2016★ 22 cited

Distance Metric Learning for Aspect Phrase Grouping

Shufeng Xiong, Yue Zhang, Donghong Ji +1

Aspect phrase grouping is an important task in aspect-level sentiment analysis. It is a challenging problem due to polysemy and context dependency. We propose an Attention-based De…