人工知能学会第二種研究会資料
Online ISSN : 2436-5556
医療ビッグデータの深い言語解析による疾患サーベイランスへ向けて
荒牧 英治
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研究報告書・技術報告書 フリー

2015 年 2015 巻 AIMED-001 号 p. 06-

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With the recent rise in popularity and size of social media, there is a growing need for systems that can extract useful information from this amount of data. We have been addressing an issue of detecting influenza epidemics using social media. Although previous methods relied mainly on frequencies of the influenza related words, they suffered from the noisy words. To deal with this problem, this study proposes deeper Natural Language Processing (NLP) approach that focuses on the each person. This paper discus the basic feasibility of the proposed approach basded on our experiences.

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