Revolutionizing Chinese sentiment analysis: A knowledge-driven approach with multi-granularity semantic features

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Bibliographic Details
Main Author: Ping He
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12262853/?tool=EBI
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author Ping He
author_facet Ping He
author_sort Ping He
collection DOAJ
format Article
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institution DOAJ
issn 1932-6203
language English
publishDate 2025-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj-art-236bdb339e3f4439ab4dfe7ea85747692025-08-20T02:40:13ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01207Revolutionizing Chinese sentiment analysis: A knowledge-driven approach with multi-granularity semantic featuresPing Hehttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC12262853/?tool=EBI
spellingShingle Ping He
Revolutionizing Chinese sentiment analysis: A knowledge-driven approach with multi-granularity semantic features
PLoS ONE
title Revolutionizing Chinese sentiment analysis: A knowledge-driven approach with multi-granularity semantic features
title_full Revolutionizing Chinese sentiment analysis: A knowledge-driven approach with multi-granularity semantic features
title_fullStr Revolutionizing Chinese sentiment analysis: A knowledge-driven approach with multi-granularity semantic features
title_full_unstemmed Revolutionizing Chinese sentiment analysis: A knowledge-driven approach with multi-granularity semantic features
title_short Revolutionizing Chinese sentiment analysis: A knowledge-driven approach with multi-granularity semantic features
title_sort revolutionizing chinese sentiment analysis a knowledge driven approach with multi granularity semantic features
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12262853/?tool=EBI
work_keys_str_mv AT pinghe revolutionizingchinesesentimentanalysisaknowledgedrivenapproachwithmultigranularitysemanticfeatures