Italian-Music-Trends
Nodejs-Stanford-Classifier
| Italian-Music-Trends | Nodejs-Stanford-Classifier | |
|---|---|---|
| 1 | 1 | |
| 0 | 47 | |
| - | - | |
| 0.0 | 0.0 | |
| over 2 years ago | almost 4 years ago | |
| JavaScript | JavaScript | |
| - | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Italian-Music-Trends
Nodejs-Stanford-Classifier
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I've built a SaaS app that lets people send messages. The app is often targeted by spammers. How do I use the data from spam and non-spam messages to predict & filter spam?
For nodejs check out https://github.com/mbejda/Nodejs-Stanford-Classifier How ever I would encourage you to use one of the HuggingFace already build models and just "add" your training to focus on spam detection eg. https://huggingface.co/datasets/sms_spam
What are some alternatives?
OpenArabic - At the Intersection of Classical Arabic and Liberal Technology.
nlp_compromise - modest natural-language processing
efficient-language-detector-js - Fast and accurate natural language detection. Detector written in Javascript. Nito-ELD, ELD.
CryptoShare - Grade: 82%. My COMP3000 final year university project that allows you to manage nearly every facet of your finances with an open-source web, mobile, and desktop application, along with a self-hosted GraphQL API.
chatgpt-sentiment-analysis-in-excel - Discover NLP features powered by ChatGPT you can use in Excel
hacktoberfest-data - Generating stats from the raw Hacktoberfest application data.
nlp.js - An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more