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Text miningQuantitative text analysis

Have you ever considered just how much highly useful information is included in the text data we create every day?

Once text data has been collected, a variety of methodologies can be applied, including overview, trend, keyword and correspondence analyses. Using the extracted information, it is possible to identify a wealth of specifically tailored facts and background knowledge that forms the basis for the discovery of new concepts and unanticipated insights.

Features

Quantitative text analysis (text mining)

Once text data has been collected, a variety of methodologies can be applied, including overview, trend, keyword and correspondence analyses. Using the extracted information, it is possible to identify a wealth of specifically tailored facts and background knowledge that forms the basis for the discovery of new concepts and unanticipated insights.

Technical guidance from developer of KH Coder

Our quantitative text analysis system has been created with technical guidance and support from Associate Professor Koichi Higuchi, developer of KH Coder open-source software at Ritsumeikan University's College of Social Sciences in Japan. KH Coder is used extensively in the academic field and has been utilized in more than 1,500 research publications.

Comprehensive consultations and training

Quantitative text analysis can be applied to a wide variety of data types ranging from newspaper and magazine articles to survey comments written in natural language. To ensure effective use of our service, we offer a comprehensive support package that includes personalized consultations at the time of installation as well as larger public seminars. Please contact us for further details.
Please feel free to contact us for more information on standard functions and specifications.