Engineering

Technical nitty-gritty posts.

Top 6 Text Annotation Tools - NewsCatcher

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.

How To Build Your Own Crypto News Aggregator - NewsCatcher

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

Learning Natural Language Processing(NLP) Made Easy - NewsCatcher

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

How To Classify Text With Python, Transformers & scikit-learn - NewsCatcher

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

How To Train Custom Named Entity Recognition[NER] Model With SpaCy - NewsCatcher

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

How To Annotate Entities With Spacy PhraseMacher - NewsCatcher

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

4 Python Web Scraping Libraries To Mining News Data - NewsCatcher

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

Sentiment Analysis Using Python - NewsCatcher

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

Ultimate Guide To Text Similarity With Python - NewsCatcher

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

Mining Financial Stock News Using SpaCy Matcher - NewsCatcher

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

SpaCy vs NLTK. Text Normalization Comparison [with code] - NewsCatcher

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

Named Entity Recognition(NER) with SpaCy [with code example] - NewsCatcher

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.

Google Kubernetes Engine as an alternative to Cloud Run

Cost optimization replacing Cloud Run with Kubernetes Pods

100k+ Rows Topic Labeled News Dataset - NewsCatcher

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

Google News RSS Search Parameters: The Missing Docs - NewsCatcher

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.