BLOGS

Pangram Labs found 6.96% of 857,434 news articles from July 1, 2024, were AI-generated, underscoring the need for better detection to prevent fraud and disinformation.

Understand the need for news syndication and the various ways you can aggregate news data yourself. Learn to build your own crypto news aggregator.

What is text classification? How does do text classifiers work? How can you train your own news classification models?

What is natural language processing? How does it work? Where is NLP used in the real world?

Four easy-to-use open-sourced Python web scraping libraries to help you build your own news mining solution.

Learn how to use sentiment analysis to mine insights about from tweets and news articles

We'll go in-depth on what, why, and how of text normalization. With code examples written in SpaCy and NLTK Python libraries.

Annotation is the part where most projects stall, and it can make or break your models. Here are some tools and tips to help you with text annotation needs.

Learn to write an information extraction NLP pipeline using spaCy’s Matcher. It will extract dividend information from news headlines and articles.

You can get a pretty narrowed Google News RSS feed of aggregated news: search by keyword, geo position, time range, topic, etc. You just need to know the syntax. Unfortunately, Google does not provide any official documentation, so we'll try to fill the gap.

Learn to write a name matching pipeline using spaCy’s PhraseMatcher that finds and labels organization names and their stock ticker symbols.

Discover how LaunchSquad's team uses NewsCatcher's News API to build the best Share Of Voice (SOV) Measurement product

From today, you can use our NewsCatcher API service for free when you search for the news that talks about COVID-19.

A practical guide to releasing and presenting open-sourced projects to be mentioned by other people

We are a team of 2 data engineers. From February to March 2020 we dedicated most of our spare time building an API that allows you to search for the news articles’ data.

Cost optimization replacing Cloud Run with Kubernetes Pods

Media monitoring is the right way to never miss a story about your brand, your competitors, and your industry.

By the end of this tutorial, you will be able to write a Named Entity Recognition pipeline using SpaCy: it will detect company acquisitions from news headlines.

The ultimate guide to where to search for online published news articles. open-sourced & free tools only. Use it to build a News API alternative.

Learn what is named entity recognition, how it works, and how it can be used. Use spaCy to train your own custom NER model.

All `topics` have 15k articles except for SCIENCE which is 3774. Those articles are published by thousands of different news websites.

Were running our News API startup for over a year. We share our biggest takeaways.

Learn the different similarity measures and text embedding techniques. Play around with code examples and develop a general intuition.