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MS2018-01: Text Analytics for interview analysis automation

posted Jan 4, 2018, 9:24 AM by Marco Spruit   [ updated Jan 11, 2018, 6:29 AM ]
This project idea is a collaboration with the Utrecht University School of Economics (U.S.E.) department who will provide a recent reference database of expert interview audio files and/or transcripts in English related to entrepreneurial clusters, which need to be transcribed, analysed, and interpreted. 

We want you to explore the extent to which this can be automated or even enriched using Natural Language Processing (NLP) techniques. Put differently, we want you to research the extent to which a typical NVivo interview transcription and content analysis process can be automated and enriched.

We expect this Applied Data Science project to measure and improve the overall data quality of colloquial speech processing tasks, strategies for textual content enrichment, dialogue segementation, and intelligent research method support, among others.

You need to be able to prototype your NLP solution in order to evaluate it interactively and iteratively in the USE case study. Additionally, many other interview data are available from previous researches.
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