Noise
NOISE creates "real-looking" text based upon a collection of reference texts, which can then be used in emails, tweets, web searches, IRC chats, or any other medium you can think of that makes it a bit too easy to profile an individual's communication habits.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Wordless | 649 | 4 months ago | gpl-3.0 | Python | ||||||
| An Integrated Corpus Tool With Multilingual Support for the Study of Language, Literature, and Translation | ||||||||||
| Facebook Chatbot Python | 85 | 6 years ago | mit | Python | ||||||
| A simple python chatbot for Facebook messenger | ||||||||||
| Machinelearningphishing | 32 | 6 months ago | 2 | Python | ||||||
| This project will determine which of the five supervised classification machine learning algorithms performs best in detecting phishy emails | ||||||||||
| Aeslc | 21 | a year ago | 3 | other | ||||||
| Annotated Enron Subject Line Corpus (AESLC) | ||||||||||
| Enron_xls | 17 | 2 years ago | cc0-1.0 | JavaScript | ||||||
| Spreadsheets from the Enron Corpus | ||||||||||
| Noise | 14 | 9 years ago | gpl-3.0 | Python | ||||||
| NOISE creates "real-looking" text based upon a collection of reference texts, which can then be used in emails, tweets, web searches, IRC chats, or any other medium you can think of that makes it a bit too easy to profile an individual's communication habits. | ||||||||||
| Dont_bayes_me_bro | 8 | 10 years ago | mit | Ruby | ||||||
| Benchmarking bayesian filtering in Ruby | ||||||||||
| Spam Filter | 7 | 12 years ago | Clojure | |||||||
| A Bayesian spam filter built in Clojure, based on the PCL spam filter. | ||||||||||
| Dnc Email Crunching | 7 | 8 years ago | gpl-3.0 | Jupyter Notebook | ||||||
| analyzing the DNC-Email Corpus released on wikileaks | ||||||||||
| Enron Formality | 5 | 9 years ago | Python | |||||||
| Code and data from the paper "Email formality in the workplace: A case study on the Enron corpus" | ||||||||||
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