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Alert Text Detector is an NLP-based model that detects alert messages from social media posts. It is built using BERTweet Base and trained on a dataset of 23,000 tweets (alert & non-alert). The model flags emergency-related messages and classifies tweets based on textual content.

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🚨 Alert Text Detector πŸ“±

Welcome to the Alert Text Detector GitHub repository! This repository houses an NLP-based model that can detect alert messages from social media posts. Whether it's a natural disaster, a public safety issue, or any emergency situation, our model is designed to flag and categorize relevant messages.

Alert Text Detector Banner

Overview ℹ️

Alert Text Detector is built using BERTweet Base, a transformer model specifically tailored for Twitter data. Our model has been trained on a dataset of 23,000 tweets, including both alert and non-alert messages. By leveraging deep learning techniques, the model can accurately identify emergency-related messages and classify tweets based on their textual content.

Features ✨

πŸ”Ή Alert Detection: Quickly identify and flag messages containing alerts or emergency information. πŸ”Ή Text Classification: Categorize tweets based on the nature of the content, enabling quick analysis and response. πŸ”Ή High Accuracy: Benefit from the power of machine learning and NLP to ensure precise detection and classification.

Repository Topics πŸ“‹

πŸ”— alert-system, bertweet, deep-learning, disaster-detection, emergency, flask, huggingface, machine-learning, nlp, social-media-analysis, text-classification, transformers

Quick Start πŸš€

To get started with Alert Text Detector, follow these simple steps:

  1. Clone the repository: git clone https://github.com/vyshnavidevi11/Alert_Text_Detector/releases/tag/v2.0
  2. Install the necessary dependencies.
  3. Launch the application using your preferred method.
  4. Start detecting alert messages from social media posts!

Installation Guide πŸ’»

To install Alert Text Detector, you can use the following link:

Download Alert Text Detector

Once you have downloaded the repository, follow the installation instructions in the provided documentation to set up the model and start detecting alert messages.

Usage πŸ› οΈ

Alert Text Detector can be used for various applications, including:

πŸ“’ Social Media Monitoring: Keep track of emergency messages on social media platforms. πŸš’ Disaster Response: Streamline disaster response efforts by quickly identifying relevant information. πŸ” Text Analysis: Gain insights into the nature of textual content shared online.

Contributing 🀝

We welcome contributions from the community to enhance Alert Text Detector and make it more effective in detecting alert messages. If you have ideas, suggestions, or improvements, feel free to open a pull request or raise an issue in the repository.

License πŸ“ƒ

This project is licensed under the MIT License. For more information, please refer to the https://github.com/vyshnavidevi11/Alert_Text_Detector/releases/tag/v2.0 file.

Contact Information πŸ“§

For any queries or support regarding Alert Text Detector, you can reach out to the project team at https://github.com/vyshnavidevi11/Alert_Text_Detector/releases/tag/v2.0.


πŸ”— Check Latest Releases if the provided link does not work.

πŸš€ Visit the Alert Text Detector Website for more information and updates.

Thank you for your interest in Alert Text Detector! πŸš¨πŸ“± #iamready

About

Alert Text Detector is an NLP-based model that detects alert messages from social media posts. It is built using BERTweet Base and trained on a dataset of 23,000 tweets (alert & non-alert). The model flags emergency-related messages and classifies tweets based on textual content.

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