activity
20162019
most citedImproving Twitter Sentiment Classification via Multi-Level Sentiment-Enriched Word Embeddings

92 citations · 155 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2019★ 21 cited

DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets

Canwen Xu, Jing Li, Xiangyang Luo +3

In recent years, with the prevalence of social media and smart devices, people causally reveal their locations such as shops, hotels, and restaurants in their tweets. Recognizing a…

cs.SI2018

Discovering Key Nodes in a Temporal Social Network

Jinshuo Liu, Chenghao Mou, Donghong Ji

[Background]Discovering key nodes plays a significant role in Social Network Analysis(SNA). Effective and accurate mining of key nodes promotes more successful applications in fiel…

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★ 20 cited

A Bi-LSTM-RNN Model for Relation Classification Using Low-Cost Sequence Features

Fei Li, Meishan Zhang, Guohong Fu +2

Relation classification is associated with many potential applications in the artificial intelligence area. Recent approaches usually leverage neural networks based on structure fe…

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…