JevMade Sign in
← Back to guides

JevMade field notes / JavaScript and TypeScript classification tutorial

Sort comments with clear labels and checked answers

Flavio Copes explains how to sort blog comments with Jev, write labels that do not overlap, and check both mistakes and unanswered items before letting software act.

Original by Flavio CopesClassification

Listen to this guide

JevMade’s plain-English explanation

0:00 /

AI narration

Credits

“How to classify text with Jev” by Flavio Copes. Read the original source.

This expanded guide is an AI-narrated adaptation prepared by JevMade. It expands the source’s essential ideas, examples and caveats in JevMade’s own words and is not a word-for-word reading. The synthetic voice does not imitate the author or imply their endorsement.

Our summary

A busy blog can receive help requests, corrections, thanks and spam in the same queue. Flavio Copes shows how Jev can sort these comments into categories chosen by the site owner. The important work is explaining what each category means, then checking whether the answers are useful.

One question chooses a single label, including an other option for comments that do not fit. Separate yes-or-no questions can add several topic tags, or none. An ordered scale describes how urgently a reply is needed. Each comment keeps its own identity, even when several requests finish in a different order.

Copes recommends testing real comments that a person has already labelled, using a fixed model version. Check how often kept answers are right and how many comments remain unlabelled at each cutoff. His example probabilities and cost estimate are illustrations, not measured accuracy. Uncertain answers go to a person before automatic action.

Key takeaways

  1. Explain the difference between nearby labels, such as a reader's broken setup and an error in the article. Add examples when tests reveal repeated confusion.
  2. Send only the context each question needs. Ask independent questions about one comment together, and limit how many comments are processed at once.
  3. A yes-or-no probability is not the same measure as certainty about a winning label. Test each cutoff on your own comments before using it.

The suggested 50–100 test comments and example cutoffs are starting points, not validated settings. Older cookbook results use a different model and tiny samples. Prices, access limits and software examples are dated; the code was inspected, not run or checked for programming errors.

Flavio Copes · Original published

Read the original guide Opens the author’s site in a new tab.

Keep this for later

Sign in to bookmark experiments, guides and videos, and keep notes only you can see.

Continue to sign in

We’ll bring you back to this listing.