Right after a scrape
Collect tweets on a topic with the Twitter scraper, then press Analyze tweets on the finished run. You can pick from your latest five runs.
Tweet analysis
Twitter (X) sentiment analysis
0xweb is a Twitter (X) sentiment analysis tool that runs in your browser. It collects tweets on a topic, or takes a CSV, XLSX or JSON file you upload, and returns an AI breakdown of sentiment, semantic clusters and key topics with example tweets.
- Fresh or your ownAnalyze a new scrape or a file you upload
- A written reportSentiment, clusters, topics and examples
- Nothing to installSign in to the web console and start
The result
What you get back
A written AI report on your set of tweets, ready to read, with example tweets for each topic.
- General characteristicsAn overview of the collected set at a glance.
- SentimentHow the tweets feel about the topic, and the emotional patterns behind them.
- Semantic clustersTweets grouped by what they are about and compared by how often each group appears.
- Key topics and examplesThe topics that come up most, and the ones that get the most engagement, with real tweets as proof.
- Trends and unusual postsRising themes, controversial subjects, and what sets tweets that spread apart from the rest.
- Ideas for your contentPractical recommendations for your own content strategy, based on what the analysis found.
Sources
Three ways to get tweets into the analysis
Collect them with 0xweb, bring your own file, or take the data to a tool you already use.
From your own file
Upload a CSV, XLSX or JSON file up to 10 MB. It needs a column with the tweet text, for example "text" or "tweet".
With your own AI tool
Download the file from any run and analyze it in the tool you already use.
How it works
How to run sentiment analysis on Twitter (X) in four steps
No code and no API key. Everything happens in the web console.
-
01
Collect tweets on a topic
In Parse, set a search query, or an X List for specific accounts, plus your filters. Then start a Parser run.
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02
Open Tweet analysis
In Tools, press New analysis. Or press Analyze tweets right on the finished run.
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03
Choose the source
Pick one of your latest Parser runs, or upload a CSV, XLSX or JSON file.
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04
Read the report
Start the analysis and read the written breakdown when it is ready.
What to expect
A fast first read of the conversation
The analysis is written by an AI model. Use it to understand a tweet flow quickly, and check the example tweets behind each point.
| Tweets per analysis | Up to 300 |
|---|---|
| Very long posts | Trimmed before analysis |
| Duplicates and empty rows | Removed before analysis |
| File formats | CSV, XLSX and JSON, up to 10 MB |
| Daily limit | The number of analyses per day is limited |
FAQ
Twitter (X) sentiment analysis: common questions
What is Twitter (X) sentiment analysis?
It shows how people feel about a topic by reading many tweets at once. In 0xweb an AI model reads your set of tweets and writes a report on the sentiment, the main topics and how they group together.
Does it give a score or a chart?
No. You get a written report with example tweets, not a dashboard of numbers.
How many tweets can I analyze at once?
Up to 300 per analysis. If your set is larger, the first 300 are used. Duplicates and empty rows are removed first.
Where can the tweets come from?
From a finished Parser run (your latest five are listed) or from a CSV, XLSX or JSON file that you upload.
Can I analyze a specific topic or specific accounts?
Yes. Collect tweets with a search query for a topic, or add accounts to an X List to collect what they post, then analyze the run.
Do I need an X account or the X API?
To collect fresh tweets, you connect an X account with cookies and a proxy. You do not need an API key or a developer account. To analyze a file you already have, you only upload it.
How reliable is an AI analysis?
It is a fast first read, not a statistical study. Use it to see what the conversation is about, and check the example tweets behind each point before you act on it.
Can I use my own AI tool instead?
Yes. Download the result file of any run in XLSX, CSV or JSON and analyze it in the tool you prefer.
Start analyzing tweets
Collect tweets on your topic, or upload a file, and get your first report in the console.