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Based on our record, Stock News API should be more popular than ml.js. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
There are a few ways to scrape stock market news data from the internet in Python — we can parse HTML directly using libraries like beautiful soup, or we can pay for an API that gives us news data directly without the hassle. Some great finance news API options include IEX Cloud, EOD Historical Data, and StockNewsAPI; each has its own pros and cons, which we talk more about in the video at the bottom of this page. Source: about 3 years ago
It looks like it relies on whatever curation https://stocknewsapi.com/ provides. So "moderation"/curation is being done, but not by steez. - Source: Hacker News / almost 4 years ago
@paulpauper, it's pretty much a UI on top of the awesome Stock News API (https://stocknewsapi.com). I really just built it to get acquainted with Elixir + Phoenix, and wanted to share it with the community :). - Source: Hacker News / almost 4 years ago
Hey @jedwhite! Thanks, I appreciate the feedback! Yeah I'm pretty much relaying from https://stocknewsapi.com :) I've been using them for about 2 years and they have an awesome team and service. - Source: Hacker News / almost 4 years ago
Thanks, much appreciated! I'm glad you find it somewhat useful :) Honestly, it was super simple to put together; I pull data from https://stocknewsapi.com, which I've found to be very high quality and reliable (I'm using their sentiment classifications as well, so not exactly sure what model is behind that). The project isn't currently open source, but I'm definitely considering it. I built it with Elixir +... - Source: Hacker News / almost 4 years ago
ML.js: This is a library for machine learning in JavaScript. It provides a wide range of algorithms including linear regression, k-means, and decision trees, as well as utility functions for data pre-processing and model evaluation. Source: over 2 years ago
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