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By aj-geddes

Sentiment Analysis

aj-geddes

Turn customer feedback into sentiment insights.

What it does

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.

How to use it

Give it text to analyze; it returns sentiment classifications, scores, visualizations, and an executive summary.

What you provide

  • the text to analyze

Uses

Latest review

What you need · 7

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.


Access · 1

This skill

vader_lexicon

Read

Downloads the VADER sentiment lexicon