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https://github.com/MAIF/melusine
📧 Melusine: Use python to automatize your email processing workflow
https://github.com/MAIF/melusine
courriels datascience emails natural-language-processing nlp nlp-machine-learning python python3
Last synced: about 1 month ago
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📧 Melusine: Use python to automatize your email processing workflow
- Host: GitHub
- URL: https://github.com/MAIF/melusine
- Owner: MAIF
- License: other
- Created: 2019-02-18T14:11:41.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2024-01-17T16:10:26.000Z (11 months ago)
- Last Synced: 2024-04-26T20:46:57.940Z (8 months ago)
- Topics: courriels, datascience, emails, natural-language-processing, nlp, nlp-machine-learning, python, python3
- Language: Python
- Homepage: https://maif.github.io/melusine
- Size: 45 MB
- Stars: 344
- Watchers: 21
- Forks: 59
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Authors: AUTHORS.rst
Awesome Lists containing this project
- awesome_quantmetry - melusine - contrib] (Natural Language Processing)
README
🎉 **BREAKING** : New major version Melusine 3.0 is available 🎉
- **Free software**: Apache Software License 2.0
- **Documentation**: [maif.github.io/melusine](https://maif.github.io/melusine/)
- **Installation**: `pip install melusine`
- **Tutorials**: [Discover melusine](https://maif.github.io/melusine/tutorials/00_GettingStarted/)
## Overview
Discover Melusine, a comprehensive email processing library
designed to optimize your email workflow.
Leverage Melusine's advanced features to achieve:
- **Effortless Email Routing**: Ensure emails reach their intended destinations with high accuracy.
- **Smart Prioritization**: Prioritize urgent emails for timely handling and efficient task management.
- **Snippet Summaries**: Extract relevant information from lengthy emails, saving you precious time and effort.
- **Precision Filtering**: Eliminate unwanted emails from your inbox, maintaining focus and reducing clutter.
Melusine facilitates the integration of deep learning frameworks (HuggingFace, Pytorch, Tensorflow, etc),
deterministic rules (regex, keywords, heuristics) into a full email qualification workflow.
## Why Choose Melusine ?
Melusine stands out with its combination of features and advantages:
- **Pre-packaged Tools** : Melusine comes with out-of-the-box features such as
- Segmenting an email conversation into individual messages
- Tagging message parts (Email body, signatures, footers, etc)
- Transferred email handling
- **Streamlined Execution** : Focus on the core email qualification logic
while Melusine handles the boilerplate code, providing debug mode, pipeline execution, code parallelization, and more.
- **Flexible Integrations** : Melusine's modular architecture enables seamless integration with various AI frameworks,
ensuring compatibility with your preferred tools.
- **Production ready** : Proven in the MAIF production environment,
Melusine provides the robustness and stability you need.
## Email Segmentation Exemple
In the following example, an email is divided into two distinct messages
separated by a transition pattern.
Each message is then tagged line by line.
This email segmentation can later be leveraged to enhance the performance of machine learning models.
## Getting started
Explore our comprehensive [documentation](https://maif.github.io/melusine/) and tested [tutorials](https://maif.github.io/melusine/tutorials/00_GettingStarted/) to get started.
Or dive into our minimal example to experience Melusine's simplicity and power:
``` Python
from melusine.data import load_email_data
from melusine.pipeline import MelusinePipeline
# Load an email dataset
df = load_email_data()
# Load a pipeline
pipeline = MelusinePipeline.from_config("demo_pipeline")
# Run the pipeline
df = pipeline.transform(df)
```
The code above executes a default pipeline and returns a qualified email dataset with columns such as:
- `messages`: List of individual messages present in each email.
- `emergency_result`: Flag to identify urgent emails.
With Melusine, you're well-equipped to transform your email handling, streamlining processes, maximizing efficiency,
and enhancing overall productivity.