taranis-sentiment-analysis 1.0.0

Sentiment analysis Bot for Taranis AI

Taranis AI Sentiment Analysis

This project integrates sentiment analysis into Taranis AI, allowing for the classification of news items as positive, negative, or neutral using transformer models.

Features

• Multi-language Support with XLM-RoBERTa.
• Pre-trained Models for high-accuracy sentiment classification.
• Flask API for external calls to the sentiment analysis.

Setup

Prerequisites

• Python 3.8+

Installation

To install dependencies:

pip install -r requirements.txt

Running the API

To start the Flask API:

python -m sentiment_analysis.api_xlmrobertabase

By default, the API runs at http://127.0.0.1:5003/.

Example API Call

To test the API with a POST request, use curl:

curl -X POST http://127.0.0.1:5003/analyze_xlmrobertabase \
  -H "Content-Type: application/json" \
  -d '{"text": "This is an example sentence to analyze sentiment."}'

Example Response

{
  "sentiment": {
    "label": "POSITIVE",
    "score": 0.94
  }
}

License

EUROPEAN UNION PUBLIC LICENCE v. 1.2