77 citations · 77 across the 1 of their papers we have counts for
3 papers
cs.CL2018
Learning Domain-Sensitive and Sentiment-Aware Word Embeddings
Bei Shi, Zihao Fu, Lidong Bing +1
Word embeddings have been widely used in sentiment classification because of their efficacy for semantic representations of words. Given reviews from different domains, some existi…
cs.CL2018
Transformation Networks for Target-Oriented Sentiment Classification
Xin Li, Lidong Bing, Wai Lam +1
Target-oriented sentiment classification aims at classifying sentiment polarities over individual opinion targets in a sentence. RNN with attention seems a good fit for the charact…
cs.CL2017★ 77 cited
Jointly Learning Word Embeddings and Latent Topics
Bei Shi, Wai Lam, Shoaib Jameel +2
Word embedding models such as Skip-gram learn a vector-space representation for each word, based on the local word collocation patterns that are observed in a text corpus. Latent t…