By the end of this tutorial, you will be able to write a Sentiment Analysis pipeline using NLTK and transformers: it will detect public sentiment around companies from news headlines and tweets.
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In this article, you will learn about different similarity metrics and text embedding techniques. By the end, you'll have a good grasp of when to use what metrics and embedding techniques. You’ll also get to play around with them to help establish a general intuition.Dem... Read More
By the end of this article, you will be able to write an information extraction NLP pipeline using spaCy’s Matcher. It will extract dividend information from news headlines and articles. You should be interested in this article if you like algorithmic trading and stock screening usi... Read More
Four easy-to-use open-sourced Python web scraping libraries to help you build your own news mining solution for your next NLP project, news aggregator, etc.All libraries listed in this article work without any API or service: you can start using it straig... Read More
TL;DR Treat your open-source project as your product to sellNotice: trying to get N GitHub stars itself is a bad approach — I just want to help you understand how to make other people notice the work you have done already... Read More