/AnalyzingInterviewText

Analyzing interview text from corpus with focus on key phrase extraction

Primary LanguageJupyter NotebookGNU General Public License v3.0GPL-3.0

Analyzing Interview Text

An autonomous system for key phrase extraction from interview corpus.

This analysis was done to determine the effectiveness of UC Berkeley's BJC curriculum in attracting historically underrepresented students into computer science.

  • This works owes thanks to Alex Bowe.
  • The work was done as part of a doctoral study in Computer Science education.

Title HipHopathy, A Socio-Curricular Study of Introductory Computer Science
Author Omoju Miller
Advisor Dr. Alice Agogino
Degree Doctor of Philosophy, Computer Science Education
Date Dec 2015

Publication

Data

The dataset that is used in this project is unfortunately not available for mass consumption, as it contains sensitive, personally identifiable student data.

  • A corpus of transcribed, 30-45 minute, semi-structured qualitative interviews with participants.

License

The contents of this repository are covered under the GNU GENERAL PUBLIC LICENSE.