Free and open-source software for computer-assisted qualitative data analysis

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

[ 전공 프로젝트: 텍스트 데이터 분석 ] 신문사 성향 별 대한민국 정치 흐름 파악

An auxiliary tool for thematic analysis in qualitative research

DeTAILS: Deep Thematic Analysis with Iterative LLM Support. DeTAILS is a toolkit for Thematic Analysis (and qualitative coding). By grounding LLMs in your research, DeTAILS automates the heavy lifting—scanning transcripts for quotes, generating codes and themes—while you (the researcher) guide the analysis to ensure rigor and depth.

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

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"

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.

Rapid Usability Testing: A lesson teaching rapid usability testing, intended for use as a 2-3 hour hands-on, virtual tutorial

Large language model topic modelling of consultation, case note, and any other open text data

Dynamic SLD generator to create Thematic Maps.

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.

Modular R pipeline for multilingual survey analysis — translate, embed, cluster, and visualize open-ended responses using Google Cloud and tidyverse tools.

A qualitative study exploring the developmental journey of piano teachers in and outside of formal training

A sentiment Analysis Project of mobile banking applications with focus on Retail focused Banks using customer reviews on Google Play Store .

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.

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.