Researchers have mixed feelings towards the use of open-ended questions and their dislikes partially come from the difficulty of post-processing text data that they collected from the questions. In this post and the next, I’ll illustrate how to examine and deal with short text answers in Python. If …

Cannot retrieve latest commit at this time. A Python tool that identifies and analyzes open-ended questions in text documents using multiple LLM APIs (OpenAI, Claude, Gemini, and DeepSeek) and provides consensus analysis with visualizations. This tool helps researchers and content analysts identify …

One of the final frontiers of data analysis is making sense of unstructured text like reports and open-ended responses in surveys. Natural language processing (NLP), with the help of AI, is making this kind of analysis more accessible. Libraries like spaCy and Gensim, although still code-based, are …

Dedicated to web analytics, data and business analytics. We're here to discuss analysis of data, learning of skills and implementation of web analytics. I have to analyze post-purchase surveys and things like that, where open ended questions are asked. So far, I tried Latent Dirichlet Allocation …

Thematic is AI-powered survey coding software that automatically identifies themes in open-ended responses without manual setup. It eliminates weeks of manual work while maintaining research-grade accuracy through transparent, human-in-the-loop validation. Coding assigns categories to your …

A program is designed to read in the coordinate values of three points on a Cartesian plane. The program then calculates the side lengths of each pair of points and the corresponding angle measurements. A) Write the segment of code that collects one set of coordinate input from the users. B) Assume …