Free open collaborative qualitative data analysis software
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Updated
Mar 1, 2026 - PHP
Free open collaborative qualitative data analysis software
An easy way to collaboratively code social media posts for manual content and discourse analysis
R package for working with semi-structured qualitative GIS data
Analysis of Default of Credit Card Clients Against Their Background using Machine Learning
Machinery for marking student work
The user manual / documentation of OpenQDA
Qualitative analysis software designed for efficient text data coding and analysis.
QualScofo - Qualitative Score Following Dataset
A PHP library that Implements the Fuzzy Comprehensive Evaluation method to assist you in the conclusion of qualitative assessment.
Open source qualitative data analysis environment
Offline GUI-tool to convert common subtitle files (such as created by Whisper AI) to interview transcripts for qualitative data analysis. Supported import file formats are SRT, TXT, JSON and TSV. Exported interview transcripts based on GAT2/TiQ/Dresing & Pehl/Kuckartz transcript format convention.
Typical subject topics are covered, in 167 notebooks. Streamlined Mathematica shortcuts take precedence over traditional precursor methods. A number of problems are dealt with in an inept, tentative, inefficient, or erroneous manner.
QUALITATIVE ANALYSIS VIRTUAL LABORATORY BY MR SIWALE
A zero-install, server-less implementation of remarks
In order to facilitate qualitative data analysis (case law, interview, focus groups, press articles, etc.), Corpus offers a service that is both simple and efficient, based on the experience in qualitative methodology by ULiège.
Quantitative Discourse Analysis Package: Bridging the gap between qualitative data and quantitative analysis
AI-powered qualitative research analysis system for market research transcripts
Predicting a startup's profitability with a linear regression model in R
In this dealing with the "Health-care Domain". Data is about the Cardio Vascular Disease[CVD], where predicting whether the patient has CVD by using the features of data.
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