Twitter Sentiment Analysis Tool

It’s the practice of taking every post that mentions something on X and working out whether the room is warm, cold, or indifferent — the positive, negative, and neutral split, in other words. AllyHub adds the part that matters on X: the result comes weighted by how far each post travelled, the repeated claims are ranked, and the count behind the figure is printed with it.

Yes — one keyword or handle over a short window runs on the free plan. Several targets in one job, longer windows, scheduled re-reads, and exports into your own tools are what the paid plans cover.

However many the search returns for your query and window — and that number is printed with the result, because a percentage without it is decoration. AllyHub reads only what X shows publicly, so protected accounts, deleted posts, and anything behind a login sit outside the count.

Less than perfect, like every scorer. Irony, in-group slang, and posts that never name the thing they’re about are genuinely hard, and any tool claiming otherwise is selling. AllyHub keeps the post text beside every classification so you can check the calls that matter, and it doesn’t publish an accuracy figure it can’t stand behind.

Then use Twitter Scraper — it returns the tweets, profiles, and public follower lists as structured rows and leaves the interpreting to you. This page is the other half: it takes that conversation and tells you how it read. One session can do both.

A dashboard hands you a number on a chart and a subscription that renews. AllyHub hands you the number, the method behind it, and the posts underneath — and keeps the whole thing as a Playbook, so the read compounds with every task instead of resetting into another month of screenshots.