Data Science - LAZARINA STOY.

AI-powered automation versus rule-based automation

Rule-based vs AI-powered Automation: Key Differences and SEO applications

Unlike rule-based automation which follows predefined paths, AI powered is designed for environments requiring nuanced decision-making. Understand all differences and how to use each in context.

By Lazarina Stoy February 28, 2024Programmatic SEO, Machine Learning

Data Science SEO

10 practical ways to implement entity analysis in digital marketing and SEO

Entity analysis is a Machine Learning method that is frequently talked about, but not yet widely used in digital marketing and SEO, despite its many potential application possibilities. In the following guide,…

By Lazarina Stoy January 1, 2024NLP, Entity Analysis, Machine Learning

Data Science SEO

7 Practical ways to implement sentiment analysis in digital marketing and SEO

Sentiment analysis is a Machine Learning method that is not yet widely used in digital marketing and SEO, despite its many benefits for organizations and practical application possibilities. In the…

By Lazarina Stoy December 30, 2023NLP, Machine Learning, Sentiment Analysis

ml-enabled SERP analysis dashboard in looker studio

Data Science SEO

4 ways to boost your SERP competitor analysis with machine learning

COPY THE LOOKER STUDIO TEMPLATEIf you want to follow along by re-creating the analysis and visualizations, see this deck and get your copy the Looker Studio templateGet the template The…

By Lazarina Stoy December 30, 2023Machine Learning, Entity Analysis, NLP, Sentiment Analysis

fuzzy matching string matching with Polyfuzz for SEO

Data Science SEO

Ultimate End-to-End Guide to Fuzzy Matching For SEOs (with Google Sheets template)

We talk about PolyFuzz, string matching, and fuzzy matching, its numerous applications in the world of SEO, its limitations and pitfalls, and how to get started with it regardless of your coding experience

By Lazarina Stoy July 4, 2022Machine Learning, Content Strategy, Link Strategy, NLP

Data Science SEO

How to do an SEO Internal Link Audit and Topic Clustering using ML

In this post, I break down the key areas that an internal linking audit should look into and go over opportunities for embedding machine learning in a way that is beginner-friendly for SEOs without extensive coding experience.

By Lazarina Stoy April 10, 2022Link Strategy, Machine Learning, NLP, SEO audits, Site Architecture

photo of golden cogwheel on black background

SEO Data Science

Machine Learning for SEO: How to Get Started

This is a beginner's guide for ML for SEOs, aimed at breaking down the challenges that hold us back from experimenting, the breakdown of ML's main characteristics to understand how to implement it , and the ways we can embed advanced technology into our routines.

By Lazarina Stoy February 27, 2022NLP, Machine Learning

Data Science Analytics

The Ultimate Guide to PyTrends: the Google Trends API (with Python code examples)

I will share some insights on what you can do with Pytrends, how to do basic data pulls, providing snippets of Python code along the way. I will also answer some FAQs about Google Trends and most importantly — address the limitations of using the API and the data.

By Lazarina Stoy October 29, 2021API, Google Trends, Python

adventure alpine background black and white

Data Science SEO

Automatically Generate Your Meta Descriptions Using Python and BERT

If you want a quick and dirty way to programmatically meta descriptions at scale using Python, this is the tutorial for you. Jupyter notebook, as well as a step-by-step process…

By Lazarina Stoy September 1, 2021Technical SEO, NLP, On-Page Optimizations, Python

Data Science

8 Limitations of Topic Modelling Algorithms on Short Text

Challenges of topic modeling on microblogs Short-form text is typically user-generated, defined by lack of structure, presence of noise, and lack of context, causing difficulty for machine learning modeling. Topic…

By Lazarina Stoy July 30, 2021NLP, Topic Modelling