SentimentHub AI - Sentiment Analysis Suite

Input Text for Sentiment Evaluation

0 characters 0 words

Inference Engine Model

⚡ VADER Express lexicon-based, rule-based approach. Extremely fast, optimized for social media.

🧠 DistilBERT Deep Fine-tuned Transformer model. Excels at syntax nuance and long texts.

🔗 Compare Mode Dual-run model evaluation. Highlights differences in scoring side-by-side.

Analysis Breakdown

POSITIVE

"This is a sample analysed response text."

Confidence Gauge

Confidence

📥

Upload File for Sentiment Scoring

Supports drag & drop CSV, JSON, or TXT formats (Max size: 5MB, up to 100 rows)

Or paste raw sentences (One sentence per line)

Inference Engine Model for Batch

⚡ VADER Express Fast processing speeds, handles neutral classifications correctly.

🧠 DistilBERT Deep State-of-the-art Transformer accuracy for detailed sentence semantic capture.

🔗 Compare Mode Process with both engines. Perfect for evaluating comparative performance.

Processing payload inferences... 0%

Inference Catalog

ID	Text Sample	Sentiment	Score / Details

Distribution Spectrum

Sentences

Positive 0%

Neutral 0%

Negative 0%

API SDK Generator

CURL

curl -X POST http://localhost:5000/analyze ...

💡 Endpoint Sandbox Specifications

The application exposes a high-performance REST endpoint on /analyze accepting a JSON payload with text and engine parameters. Modify Single Analyzer inputs to dynamically watch the SDK templates adapt code payloads instantly.

JSON Response Sandbox

// Trigger 'Run Request' above or 'Evaluate Sentiment' under Analyzer to view full serialized response format.