This week we feature articles from Moez Ali, and Dan Robinson.
Additional reading comes from Ingrid Lunden, Michael Eisenstein, and Denise-Marie Ordway.
News comes from Netlify, Intrep-ID, Sitecore, Kentico, and Elastic.
Reminder: If you’ve missed any recent issues you can see them here.
Opinion / Analysis
Is LDA topic modeling dead?
If you’re a topic modeling geek you’ll want to check out Dan Robinson’s deep dive on how BERTopic addresses a couple of the important limitations of LDA. (14 min)
Natural language processing (NLP) Python libraries in 2022
Python has a growing ecosystem of open-source NLP libraries. This article lists down some of the really useful NLP libraries in Python in no particular order.
Moez Ali suggests the current top Python libraries are: Hugging Face Transformers, NLTK, spaCy, Gensim, and Flair. (4 min)
- Open sourced so potentially promising… Meta launches Sphere, an AI knowledge tool based on open web content, used initially to verify citations on Wikipedia, via TechCrunch
- For researchers… Need web data? Here’s how to harvest, via Nature
- Actually, for all of us… 5 things journalists need to know about statistical significance, via The Journalist’s Resource
Content technology news
Introduction to Intrepids
A way to manage personal data. Individuals can manage and reuse their data efficiently while enhancing data privacy, and increasing data control.
Sitecore releases Experience Manager Cloud (XM Cloud)
They have transitioned the core CMS solution including personalization and the content authoring experience, to a modern cloud architecture.
Netlify announces investments for the Jamstack Innovation Fund
To support early-stage companies that are driving forward the modern web by arming developer teams with Jamstack-based tooling and practices.
Kentico to focus on CMS & DXP
Raised an investment of $40 million from Expedition Growth Capital and became a standalone enterprise. Kontent.ai is now a separate company.
Elastic enhances cross-cluster search and replication
Enables users to search across multiple clusters and visualize data in one view, and replicate data between clusters regardless of physical location.
The Gilbane Advisor is curated by Frank Gilbane for content technology, computing, and digital experience professionals. The focus is on strategic technologies. We publish recommended articles and content technology news weekly. We do not sell or share personal data.