MLforSEO

Loving the reviews that started pouring in for the Semantic ML-enabled Keyword Research Course by Lazarina Stoy! 🤩 Thank you for your trust and for your wonderful review, Iva Krasteva! 💜 Want to also fill in some knowledge gaps, and improve your ML skills? Sign up to the course: https://lnkd.in/djViMtF4

The latest in SEO in this week's #SEOFOMO (sent to +35.7K subs): * Google November 2024 core update rollout is now complete * Google has added an FAQ to their Site Reputation Abuse Policy Doc * Google CEO Sundar Pichai: Search will profoundly change in 2025 * OpenAI Releases ChatGPT o1, ‘World’s Smartest Language Model” * The SEOFOMO Community Top SEO Predictions & Tips for 2025 [from +100 Survey Answers] * New Research: SparkToro analyzed 332 million queries over 21 months to uncover never-before-published data on how people use Google * The SEO Chapter from The Web Almanac 2024 * SEO Salary Survey 2024 (How Much are SEOs Really Making?) * The Ultimate Guide to Link Building: Strategies, Tools, and FAQs * Different ways to Map Keywords to topics – with Supervised and Unsupervised ML approaches By Barry Schwartz, Lazarina Stoy, Andy Drinkwater, Danny Goodwin, Rand Fishkin, Jess Sankhavaram-Peck, Jamie Indigo, Harry Clarkson-Bennett, Andrea Volpini, Dana DiTomaso, and more! Check your emails or read here (and subscribe): https://lnkd.in/dnp8aJUU

Thank you so much for everyone that joined in for my session with Oncrawl for We Love SEO 2024, where I talked about 5 Phases of NLP and how to practically implement models from each into your SEO workflows. A ton of resources from MLforSEO were mentioned, so check out the associated blog posts, templates, and more! You can download my slides to get all the resource links: https://lnkd.in/d6mKmPGq The Oncrawl team will be processing and releasing the recordings from the sessions in the upcoming weeks, so stay tuned for that also.

Different ways to Map Keywords to topics – with Supervised and Unsupervised ML approaches: A comprehensive guide by Lazarina Stoy going through different ML methods pros and cons: * String fuzzy matching, a lightweight method for approximate matches between keywords and topics. * sBERT (Sentence-BERT) for topic clustering with semantic similarity, * BERTopic, a powerful unsupervised approach for dynamic topic modeling * K-Means Clustering, a classic unsupervised ML method for grouping keywords based on vectorized features Read here: https://lnkd.in/dmBB9WdK

🌟 New Implementation Guide by Lazarina Stoy. Exploring Different Ways to Map Keywords to Topics with Supervised & Unsupervised ML Approaches! 🌟 This comprehensive guide dives into advanced methods for keyword research, using both supervised and unsupervised machine learning approaches to map keywords to relevant topics. Here’s what you’ll learn: - The core principles of keyword-to-topic mapping. - Four different methods that can help you map keywords to topics effectively, each varying in complexity and effectiveness for the task, yet each with their own merits and applications: --- String fuzzy matching, a lightweight method for approximate matches between keywords and topics. --- sBERT (Sentence-BERT) for topic clustering with semantic similarity, --- BERTopic, a powerful unsupervised approach for dynamic topic modeling, and --- K-Means Clustering, a classic unsupervised ML method for grouping keywords based on vectorized features. Resources included: - A detailed free guide to help you get started with machine learning for keyword research. - A Colab notebook with example workflows and practical code snippets for hands-on learning. Check it out to level up your keyword research: https://lnkd.in/dU8ZKzr5

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🚀 Search 'n Digest #12 is Live! This week's newsletter includes updates, resources, and exclusive opportunities for the digital marketing community. Here's what you’ll find: 🎄 Seasonal Highlights: 🥂 There are only four spots left for the intimate Search 'n Stuff Christmas Dinner at The Counter Soho on December 12. Don’t miss this festive evening with excellent connections! 🎉 The final ever #SearchNorwich Christmas Special is happening on December 4—SEO quiz, industry talks, and more! 🎙️ Upcoming Podcast Growth Meetup: Date: January 15, 2025 Location: Linden House, Hammersmith, London Featuring four expert speakers sharing actionable insights on podcast KPIs, growth, and monetisation. Drinks and snacks are included! 📚 Exclusive Resources: A recap of Google Ads updates from 2024. Curated SEO Black Friday deals to supercharge your strategy. A practical guide to KeyBERT clustering for efficient keyword research. 🌟 Looking Ahead: Join PPC Live #15 in February for expert talks on AI, GA4, and analytics—complete with free food and drinks! 🔗 Subscribe now and stay ahead in the digital marketing world! [Subscribe on LinkedIn https://lnkd.in/eBJfqEfc] ✨ Featured professionals, communities and companies: Emina Demiri, Emre Onar, Jo Cameron, Sarah McDowell, Google, SEOFOMO, MLforSEO, #SearchNorwich, Gokce Yesilbas, 🐻 Russell McAthy, Baris Asa

The past year has highlighted the need for diversified traffic sources and a truly omnipresent content and brand strategy. In our latest #WTSKnowledge article, Lazarina Stoy covers everything you need to know to automate Content Transformation with the help of Machine Learning ✔️ Why you should consider investing in content transformation ✔️ Content transformation methods and implementation including Text-to-text, Text-to-speech, Speech-to-text, Text-to-video and Image-to-video transformation ✔️ How to responsibly scale your content transformation program in the age of AI Utilize Machine Learning⬇ https://lnkd.in/exuBxg5F

There are now +20 SEO Tools & Services featured in the #SEOFOMO Black Friday SEO Deals 💸 Among them: Advanced Web Ranking, Wincher, AlsoAsked, SEO Gets, SENUTO, Link Finder 🇫🇷, Pixpa, RankSuite, MLforSEO, and more! Check the link in comments.

New Implementation guide by Lazarina Stoy - Working with different Autocomplete APIs for identifying suggested keywords 💜 Using Google Autocomplete APIs in Google search and YouTube Search, as well as the Places API (Google Maps) for Query and Place suggestions, and how to integrate this into keyword research. This is a part of the Semantic Keyword Research Course (part of which is live already; where there is an associated in-depth explainer video to this guide, and will be part of the academy, which will launch soon): https://lnkd.in/djViMtF4 💫 The free guide will help you to: ✨️ Understand how Autocomplete works ✨️ Implement the different APIs with basic functionalities to get suggestions directly from Google Search/YouTube Search/Google Maps. ✨️ Improve your keyword suggestion collection efficiency and scalability. A quick-start Python Colab notebook is included to get you up and running in no time.🤩 Check it out and start discovering hidden keyword opportunities today https://lnkd.in/dE2iYFQN