Natural Language Processing for Semantic Analysis of Big Data
update：2020-06-16
Features
This lab conducts fundamental research for deep natural language processing (NLP) and NLP-oriented information organization such as classification, extraction, and summarization of language information. Our activities also cover a broad range of applied research including NLP-based information and knowledge mining, information credibility analysis, and resilient ICT through the maximal use of Big Data.Targeted Application(s)/Industry
(i) Analysis of market trend or research trend through intelligent text mining, (ii) Discovery of potential needs and risks from opinions in social media, (iii) Management of knowledge in a company by analyzing internal documents, etc.Researchers
Graduate School of Information Sciences
INUI Kentaro
, Professor
Doctor of Engineering
Keywords
Related Information
* Ran Tian, Naoaki Okazaki, Kentaro Inui. The Mechanism of Additive Composition. Machine Learning, Vol. 106, Issue 7, pp 1083–1130, 2017.
* Shun Kiyono, Jun Suzuki, Kentaro Inui. Mixture of Expert/Imitator Networks: Scalable Semi-supervised Learning Framework. In Proceedings of The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 12 pages, 2019.
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