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Models of text mining to measure improvements to doctoral courses suggested by "STELLA" phd survey respondents
2014
We present Text Mining models to thematically categorise and measure the suggestions of PhD holders on improving PhD programmes in the STELLA survey (Statistiche in TEma di Laureati e LAvoro). The coded responses questionnaire, designed to evaluate the employment opportunities of students and assess their learning experience, included open-ended questions on how to improve PhD programmes. The Corpus analysed was taken from the data of Italian PhD holders between 2005 and 2009 in eight
doi:10.6092/issn.1973-2201/4500
fatcat:un3nevj355bvpdeqzyd57hwkuq