🧠 Sentiment Analyzer

Sentiment Analyzer Guide

Understand emotions in text with AI-powered analysis.

How to Use

1. Enter Text:

   • Type or paste any text (e.g., reviews, tweets, comments) into the input box.

   • Try the example buttons (Positive/Negative/Neutral) to see how it works.

2. Analyze:

   • Click “Analyze Text” to detect sentiment (positive, negative, or neutral).

3. Results:

   • Sentiment Label: 😊 Positive, 😠 Negative, or 😐 Neutral.

   • Confidence Meter: Shows how strongly the sentiment is detected (0–100%).

   • Emotion Tags: Specific emotions detected (e.g., “happy,” “angry,” “factual”).

What It Analyzes

• Positive Text: Joy, praise, excitement (e.g., “This product is amazing!”).

• Negative Text: Anger, frustration, disappointment (e.g., “Terrible customer service.”).

• Neutral Text: Facts, unbiased statements (e.g., “The meeting is at 3 PM.”).

Tips for Better Results

✔ Use complete sentences for accurate analysis.
✔ Avoid mixed emotions in one text (e.g., “I love this, but it broke quickly” may confuse the tool).
✔ The tool works best with English text.

Example Use Cases

• Analyze customer feedback for trends.

• Check social media comments for brand sentiment.

• Review survey responses quickly.