Ok, why should I learn #NLP concepts if I am a #SEO Specialist? I give you some good reasons to get started in 2022.

This is a thread 🧵
Better understanding of everything regarding Semantic SEO.

Topical maps and entities will be a breeze for you.
You can apply NLP techniques to analyze content and organise your work based on some measurable concepts.

It's not an opinion if a sentence has a bad structure.
Gain new insights, e.g. scrape entities from competitors, analyze sentence structure and much more.

There are a lot of methods to get closer to the bigger picture of content networks!
Easier to read Google patents and get the most actionable info.

Skimming through patents has never been ""easier"".
NLP is one of the most sought out fields right now, no reason to consider it as optional.

If you are a believer of hybrid jobs, this is your chance to shine.
Google is using #NLP and will rely on more complex techniques in the future.

There is no use in delaying the study of some theory that you will need regardless.
#Python3 is a good companion for #NLP if you want to apply some concepts and test how some algorithms work.

Just learn it properly and test some libs. More on this in the next few days!
You don't need to become an engineer to get value from this knowledge.

Imho a theoretical understanding of essential concepts is enough to improve and raise your bar!

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More from @GiordMarco96

Jan 28
Some #SEO concepts that are not so common across mainstream resources. They will probably become more known with time (I hope).

This is a thread 🧵
1. Phrase-based indexing. The usual SEO guide suggests you to put keywords here and there.

You should try to understand common sentences across competitors, it works and it's better!
2. Entities. I post about them like everyday but there is often no mention of them in what can be considered "mainstream" beginner material.

Having a CSV with 100K keywords is certainly not going to change anything if you don't know Semantic SEO.
Read 17 tweets
Jan 27
A handful of lessons I learned (and I am still learning) while trying to apply #DataScience to #SEO. Some of them are not so obvious either.

This is a thread 🧵
1. Communication is hard and you will get mad a lot of times. Non-technical people have no clue what you are talking about and you have to educate them.

Easier said than done, but I think that you should stay strong and keep trying.
2. Data quality is all. In SEO it's way harder as you are working with estimates and you don't even know the original data distribution.

That is why I am very careful when using Machine Learning models for SEO.
Read 17 tweets
Jan 26
Today I tweet about something different. Some things I learned while studying and practicing #SEO that some people may find extremely valuable (or not).

This is a thread about my personal 15 lessons 🧵
1. Soft skills are extremely important. The first time you heard about them they seem fluff, it's actually the opposite.

Convincing stakeholders and negotiation are the most valuable skills for my own experience.
2. Variety is great. This doesn't just apply to your workplace but to skillset as well.

Exploring new things and going over prejudices involving other disciplines is a super valuable learning.
Read 17 tweets
Jan 23
The best resources to learn Semantic #SEO, think around topics and not just keywords.

This a thread 🧵
holisticseo.digital

The most useful and interesting case studies are here, a must have for all
rankranger.com/blog/what-is-s…

Very good resources to get started now, pretty simple to follow.
Read 7 tweets
Jan 22
Some quick tips based on Semantic #SEO and #NLP (but also good #copywriting) that can improve your writing skills.

🧵 This is a thread 🧵
Avoid weasel words and fluff. Go straight to the point and remove useless adverbs or prepositions.

You should just leave the essential stuff as long as it conveys what you are trying to communicate.
Put important entities at the beginning of your page (i.e. in the introduction).

Don't fool around and make it clear that you are talking about a given topic from a certain angle.

🔽🔽🔽
Read 14 tweets
Jan 20
Some other tools/ideas that can guide a #SEO Specialist in your journey towards being more data-driven.

There are a lot of loanwords from #datascience in here!

Another thread again 🧵🧵
SQL and DBMS (Database Management System): the former is a language to perform queries on a database, the latter is a system to manage a database.

If you're tired of ""storing"" your data in unreliable Excel sheets then you're in the right place...
...Google BigQuery is one top-tier tool that you can explore for storage and for queries/calculations.

SQL is the most important technical data skill you can wish for!
Read 10 tweets

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