Wenliang Chen is a Professor of Computer Science at Soochow University with 11 years in academia and over two decades of research experience in natural language processing, machine learning, and information extraction. His work spans dependency and syntactic parsing, sequence labeling, NER, knowledge graphs, opinion mining, and recommender systems, with prior research scientist roles at I2R and NICT in Japan. He holds a PhD from Northeastern University (China) and combines deep theoretical grounding with practical system-building across NLP pipelines. Known for bridging linguistic structure and statistical models, he applies parsing and sequence models to real-world extraction and recommendation problems. Based in Suzhou, he maintains an active research profile and mentorship focus, often translating foundational NLP advances into applied solutions.
11 years of coding experience
7 years of employment as a software developer
PH.D, Computer Science, PH.D, Computer Science at Northeastern University (CN)
SentiBridge: A Knowledge Base for Entity-Sentiment Representation
Contributions:41 commits, 3 PRs, 38 pushes in 2 years 2 months
sentimentknowledge-graphsentiment-analysis
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