How to collect free-text feedback: an introduction for a data scientist
Last Updated on July 18, 2023 by Editorial Team
Author(s): Anil Tilbe
Originally published on Towards AI.
Understand how to develop technical learning systems to collect free-text, open-ended responses from users.
Photo by Emily Morter from Unsplash
To truly understand the type of measurement framework to implement for how to solicit feedback is to also humbly acknowledge as a data scientist the shortcomings and imprecise capabilities of natural language processing and machine learning.
Control +F the number of times I mentioned “primary source.”
Use case: analyze free-text comments; predict their binary sentiment (positive or negative); and measure the magnitude of that sentiment (e.g., polarities in TextBlob; the positive or compound score in VADER; your custom sentiment score for your custom-trained model;… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.
Related posts
Recent Posts
