Sentiment Analysis in Node.js Without External APIs
Add sentiment analysis to any Node.js app using the AFINN-165 lexicon. No paid APIs, no Python, no ML models. Working code examples with real output.
Articles on text analysis, readability, and developer tooling.
Add sentiment analysis to any Node.js app using the AFINN-165 lexicon. No paid APIs, no Python, no ML models. Working code examples with real output.
Hemingway Editor uses 1 readability formula. ProseScore uses 8 and runs 100% client-side. Here's why I built it and how the consensus scoring works.
Compare 8 readability formulas — Flesch-Kincaid, Gunning Fog, SMOG, Dale-Chall, and more. Learn what each measures, when to use it, and how they differ.
Learn how Flesch-Kincaid, Gunning Fog, Coleman-Liau, and 5 other readability formulas work under the hood, and how to use them in your Node.js projects with a single function call.
Build a working content quality gate in TypeScript using textlens to check readability, sentence length, and sentiment in 10 lines of code.
Use textlens — a zero-dependency TypeScript toolkit — to measure readability, sentiment, SEO, and more. Works as a library and CLI.