Master's Thesis: Conversational e-coach with active listening

Introduction

Master's Thesis developed by Iñigo Fernández Arrizabalaga during his Master in Software Development at the University of Granada (UGR) in the academic year 2020-2021.

Abstract

Development of a set of active listening strategies that allows a conversational system for the mental e-health domain to carry out active listening and obtain information about the users state. For the development of this set of strategies we will work with different human-human conversations from a corpus as well as a repository of active listening strategies. Based on these, the system will be able to choose the best interventions at the best moments.

Execution

Execute main.py

File structure

• classes/
• files/
  • corpus/
    • 300_P/
    • 301_P/
    • 302_P/
    • [...]
  • csv/
    • dev_split_Depression_AVEC2017.csv
    • full_test_split.csv
    • test_split_Depression_AVEC2017.csv
    • train_split_Depression_AVEC2017.csv
  • results/
    • 300_P/
    • 301_P/
    • 302_P/
    • [...]
• myconfig/
• util/