Go to example tasks
Book reader sentiment analysis on X (Twitter) posts
Created by
Xquik
Measure reader attitudes toward recent bestsellers per post, with intensity and sarcasm, from English X posts about books.
X Tweet Sentiment Analysis with AI | $0.0003/Tweetxquik/x-tweet-sentiment-analysis
Original tweet
Analysis
Change since baseline
TextNumberBooleanListObject
Input
Search terms:("just finished" OR "currently reading") (book OR novel) lang:en -filter:retweets
Max items:100000
Output fields
Original tweet
Analysis
Change since baseline
Sign up on Apify01
Create your Apify account to access the X Tweet Sentiment Analysis with AI | $0.0003/Tweet.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
