Alert Text Detector 🚨📱

Project Overview

Alert Text Detector is an advanced Natural Language Processing (NLP) model designed to identify and flag emergency or critical alert messages across social media platforms. Leveraging state-of-the-art machine learning techniques, this project aims to provide real-time detection of urgent communications.

Key Features

• 🧠 Advanced NLP Model: Utilizes Bertweet Base model for sophisticated text classification
• 🔍 High Precision Detection: Achieves over 93% precision in identifying alert texts
• 📍 Location-Based Alerts: Customizable alert distribution based on user interests and locations
• 🔬 Comprehensive Preprocessing: Includes lemmatization, keyword extraction, and hashtag analysis

Performance Metrics

Validation Results

• Accuracy: 91.07%
• Precision: 89.46%
• Recall: 91.05%
• F1 Score: 90.25%

Test Dataset Results

• Accuracy: 96.37%
• Precision: 93.17%
• Recall: 99.83%
• F1 Score: 96.39%

Technology Stack

• Machine Learning: Hugging Face Transformers, Bertweet Base Model
• Data Processing: Pandas, NumPy, NLTK
• Model Training: PyTorch
• Web Framework: Flask
• Database: SQLite3

Installation

1. Clone the repository

git clone https://github.com/saivasanthg/Alert_Text_Detector.git
cd Alert_Text_Detector

Data Preprocessing Techniques

• Lemmatization
• Keyword extraction using paraphrase-MiniLM-L6-v2
• Hashtag analysis
• Train-test split (80% training, 20% validation)

TRAINING PROCESS

Future Roadmap

• Multi-language support
• Real-time streaming alert detection
• Integration with more social media platforms
• Decoding of emoticons for better contextual understanding

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Sai Vasanth G [email protected]