Brandon Mulas | Monica Bustamante |
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Chris Filkins | Jack Lindberg |
The idea of this project was to develop an email app similar to Gmail, Edison mail, Yahoo mail, etc. but with better organization to help you find emails easier. For the DS, we built an API that generates tags for all emails so they can be put into folders by the BE.
- Language: Python
- Libraries: Pandas, Gensim, GoogleAPI, NLTK, Spacy, BeautifulSoup, and Flask
- Services: AWS Elastic Beanstalk, Docker
The Tagger Data Science team put together 2 API points: one which resides in the cloud on a flask application within Amazon Web Services and the other, which lies internally within a stand-alone desktop Electron application. The Tagger cloud-based API pulls emails from the Google API. Our API then cleans these emails and runs them through an NLP (Spacy) pipeline using a latent Dirichlet allocation (a Gensim LDAMulticore modeler) to derive a topic set. Those topics are then weighted by frequency and paired with concurrent VADER Sentiment Analysis. All of this is packaged up in JSON for retrieval by the desktop application. The data science API for the desktop application, in turn, receives search requests from the end-user and searches the database of email "smart tags" to find a list of relevant email IDs, which are then output to the desktop application for presentation at the user level.
- Private User E-mails within Gmail accounts. The developer can apply their own credentials using googleAuth.js. Instructions
- Text of the emails
Smart Tag Model Hyperparameter Optimization and Training
This notebook contains 3 working models for producing smart tags.
You can find the data science web API endpoint for retrieving emails at: http://taggermail-env.eba-ip2ksqmm.us-east-1.elasticbeanstalk.com/api/
Please note there is also a data science application API endpoint internal to the desktop application.
METHOD: POST
Type: application/json
Data:
{
"provider": "gmail",
"recent_id": "<recent_id>",
"token": {
"refresh_token": "<google_auth_token>",
"client_id": "<client_id>",
"client_secret": "<client_secret>"
}
}
Rosie Lasota | Jean Fraga |
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Avraham Jacobsohn | John Morrison | Samuel Hepner |
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When contributing to this repository, please first discuss the change you wish to make via issue, email, or any other method with the owners of this repository before making a change.
If you are having an issue with the existing project code, please submit a bug report under the following guidelines:
- Check first to see if your issue has already been reported.
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- Create a live example of the problem.
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If you have developed a patch, bug fix, or new feature that would improve this app, please submit a pull request. It is best to communicate your ideas with the developers first before investing a great deal of time into a pull request to ensure that it will mesh smoothly with the project.
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These contribution guidelines have been adapted from this good-Contributing.md-template.
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