Sentiment of replies to a news post on X (Twitter)

Created by

Xquik

Actor

X Tweet Sentiment Analysis with AI | $0.0003/Tweet

Analyze the replies under a news account post: attitude, intensity and sarcasm per reply, so newsroom teams see how readers received a story.

Try for free

X Tweet Sentiment Analysis with AI | $0.0003/Tweetxquik/x-tweet-sentiment-analysis

Original tweet

Analysis

Change since baseline

Input

Search terms:to:BBCBreaking lang:en -filter:retweets

Max items:100000

Output fields

Original tweet

Analysis

Change since baseline

How it works

Sign up on Apify or log in

The X Tweet Sentiment Analysis with AI | $0.0003/Tweet Actor is ready to run with the inputs already set for "Sentiment of replies to a news post on X (Twitter)". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Sentiment of replies to a news post on X (Twitter)" task

The X Tweet Sentiment Analysis with AI | $0.0003/Tweet Actor will start running based on the input automatically. You can also change all the input fields, like search terms and max items, to match your specific use case.

Receive the "Sentiment of replies to a news post on X (Twitter)" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as original tweet, analysis, and change since baseline.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Sentiment of replies to a news post on X (Twitter)" task via API.