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Hai-Lian Lv

1 paper hereh-index 295 citations13 works total

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  • cs.CL1

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

92 citations · 92 across the 1 of their papers we have counts for

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1 paper

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.