Turn customer feedback into sentiment insights.
Classifies text sentiment and produces distribution analyses, trend visualizations, and a summary of insights.
When to use it
Use for analyzing customer feedback, monitoring product reviews, tracking social media sentiment or brand perception, and detecting chatbot sentiment.
Give it text to analyze; it returns sentiment classifications, scores, visualizations, and an executive summary.
What you provide
The supplied implementation runs in Python; no version is specified.
The implementation imports pandas and uses it to organize review data.
The implementation imports numpy for array operations.
This skill
vader_lexicon
Downloads the VADER sentiment lexicon