Sentinel Mood

A lightweight sentiment analysis skill powered by NLTK's VADER (Valence Aware Dictionary and sEntiment Reasoner). It is specifically tuned for social media texts, conversational language, and short updates.

Capabilities

• - Analyze Sentiment: Get positive, negative, neutral, and compound scores for any text.
• Detect Tone: (Implicit) Infer tone based on polarity scores.

Usage

User: "Analyze the sentiment of this message: 'I love how this project is turning out, great job!'"
Agent: [Runs skill] -> Returns sentiment scores (e.g., compound: 0.8, pos: 0.6).

Technical Details

This skill uses a Python script (analyze.py) that imports nltk.sentiment.SentimentIntensityAnalyzer.

Dependencies

• - Python 3
• INLINECODE2 library (pip install nltk)
• INLINECODE4 (downloaded via nltk.downloader)

Implementation

The skill executes a python script that takes text as an argument and outputs JSON.