LaMa, short for Labelling Machine, is an web application developed for aiding in thematic analysis of qualitative data.

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An auxiliary tool for thematic analysis in qualitative research

Resources for Grounded Intuition of GPT-Vision's Abilities with Scientific Images

This repository contains all software written and used, along with the outcomes across all stages of the thematic analysis conducted on the reasons to find it easy or difficult to talk to the virtual coach.

Code for Python package AutoThemeGenerator. Also part of codes for paper "GPT Models Can Perform Thematic Analysis in Public Health Studies, Akin to Qualitative Researchers"

Dynamic SLD generator to create Thematic Maps.

A Natural Language Processing application designed for analyzing customer reviews to extract sentiments, identify themes, and generate personalized recommendations.

This is an extensive sentiment analysis spanning 10 years of text data harvested accros major social media platforms across the world. However, the focus of the analysis was streamed down to focus on two countries of the woord: USA and Canada.

A Python-based tool for performing thematic analysis on collections of PDF documents. It supports both supervised (using key concepts) and unsupervised (clustering) analysis, leveraging NLP techniques and GPT models for insightful results.

This repo contains outcomes across all stages of the thematic analysis conducted on the reasons to be satisfied or dissatisfied when using the virtual coach.