Text Mining

Tetsuya Nasukawa

Abstract

This lecture introduces overview of text mining technology that enables to utilize huge amounts of textual data for identifying valuable knowledge and taking appropriate actions with some live demonstrations.

AIの分野で人の言葉を扱う処理を自然言語処理と呼び、その応用技術がテキストデータの内容を分析するためのテキストアナリティクスやテキストマイニングである。この技術により、人手ではとても読むことのできない膨大な量のテキストデータの情報を活用できるようになってきた。近年では、書かれている内容だけではなく、筆者の性格までも推定できるようになってきており、データの活用可能性が広がっている。
データの時代を勝ち抜くために、大量のテキスト情報をAIでどう活かせるかをデモを交えて紹介する。

Speaker

Photo of Tetsuya Nasukawa

Tetsuya Nasukawa joined IBM in 1989, and he has been leading text mining projects since 1997. He is the primary inventor of the Text Analysis and Knowledge Mining (TAKMI) system that has been integrated into IBM products such as Watson Discovery Content Miner and Watson Explorer Content Analytics. He has over 30 years of experience in the natural language processing field. His areas of expertise include text mining, sentiment analysis, and personality estimation. Tetsuya has authored and co-authored more than 100 academic papers and received more than 10 academic awards. He has also written several books in Japanese as well as the Redbook of IBM Content Analytics and wrote the text mining sections of Encyclopedia of Natural Language Processing (Japanese) and Artificial Intelligence (Japanese).
He gave a tutorial on text mining at the Tenth Machine Translation Summit in 2005 and gave a keynote speech on text mining at the Eights International Symposium on Natural Language Processing in 2009.
He served as a Research Professor of Keio University from 2010 to 2011 and a Visiting Professor of Shizuoka University from 2012 to 2016.
He holds a PhD. degree in engineering from Waseda University, Japan.

Requested 1 time

Lecture languages

EnglishJapanese

Topics

AI ApplicationData Science / Machine LearningKnowledge Management

Duration options

1 hour

Travel/delivery options

In-countryOutside of country: Open for discussionRemote via video conference

Country

Japan

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