Lesson 72: First Word Sequence
Key Takeaways
- According to ranking algorithms, if you have a good initial ranking, all the other ranking iterations, they will always be giving you a better ranking score as well.
- And that's why we are trying to give this type of example nouns.
- 68th lecture of the Semantic SEO course and in this lecture we'll try to understand page-wide characteristics as much as possible.
- And always, we see that even if macro context terms appear page side side, some certain type of words, let's say this is stone, it appears here, but it doesn't appear directly in this area.
- But when we look at the water benefit or drinking or during morning, etc., they appear actually in all of the sections.
Core Concepts
Main Teaching
68th lecture of the Semantic SEO course and in this lecture we'll try to understand page-wide characteristics as much as possible. First thing is that you should understand the distributional semantics and the statistical linguistics while examining your article to understand its overall character because qualitative and the quantitative algorithms to understand the relevance and responsiveness of an article they work together and checking the quantities is easier than the quality or the qualitative arguments because we just count words or the occurrences or the appearances which is very much ...
How It Works
Here we have immune system. But when we look at the water benefit or drinking or during morning, etc., they appear actually in all of the sections. Basically, we play with the statistical linguistics and distributional semantics by distributing these things for creating new co-occurrences. Distributional semantics or let's say quantitative algorithms, the search engines, they are easier to work or trigger and to be able to give the initial ranking scores.
Why This Matters
When it comes to initial rankings, it is important to give richer and more dense co-occurrence matrices to reflect our context in a better way. If you're able to do this in a really good way, your initial rankings will be better. According to ranking algorithms, if you have a good initial ranking, all the other ranking iterations, they will always be giving you a better ranking score as well. That's why initial rankings, they are, probably the most important thing in the ranking algorithm is because you have a higher initial ranking, it will always be affecting you in the future steps, in the ...
Implementation Notes
And that's why we are trying to give this type of example nouns. When we tell mineral crystals, we give calcium, uric acid, streptococci or cysteine here in this specific example to be able to give a better, let's say, relevance and the combination of these terms and it will be reflected. For relevance calculation in this area as well.
Koray's Terminology
| Term | Meaning in Context |
|---|---|
| Macro Context | The main topic and primary context of a web page, processed in the main content area |
| Contextual Domain | The broader context that unites different knowledge domains through entities and attributes |
| Distributional Semantics | Statistical analysis of how words are distributed across a document for relevance signals |
Practical Application
- Create a content brief using Koray's contextual vector methodology
- Study the concepts presented in this lesson until they become intuitive
- Review the related case studies mentioned by Koray for real-world application
- Practice identifying the key terminology in your own SEO projects
- Apply the frameworks discussed to a test website or content network
- Revisit this lesson after completing later lessons to deepen understanding
Connection to Framework
Full Transcript
68th lecture of the Semantic SEO course and in this lecture we'll try to understand page-wide characteristics as much as possible. First thing is that you should understand the distributional semantics and the statistical linguistics while examining your article to understand its overall character because qualitative and the quantitative algorithms to understand the relevance and responsiveness of an article they work together and checking the quantities is easier than the quality or the qualitative arguments because we just count words or the occurrences or the appearances which is very much easier for us and to be able to do that you can actually use these specific multi-search and multi-jump extension if I write here the water benefit or also the percentage and let's say research study and maybe statistic and some others as well we can maybe use the university word as well and if I press the directly the the we will see that any any existing appearance or sample of these specific words the thing that you should understand is that these things will be appearing page page-wide in every section of this page in nearly in every paragraph we will see the word water benefit university study research or something like that which means that this is the overall character of entire article all the time as you see it always appearing in this area one more of the various branches so we will see what will contain these filters but the thing is that as I say if this project might be redirected to another website soon that's why I'm a spatially showing these examples from this website we have many more samples to be honest I might have even more than three thousand content briefs definitely more but the thing here is that that's why you see that these type of these type of some banners started to appear in the website which means that you can see these type of banners can start to actually leak the page rank and the authority of the website to the rankability of the website in the future as well and when we look at the page site characteristic of this source you will realize that we mostly use numeric values and percentages we always actually use some certain types of studies researchers and one more time again again different types of let's say examples like a study conducted at the pecking university entitled effects of the dehydration and the rehydration followed 12 men who abstained from drinking water for 36 hours if i go to the next research when i find it according to the study published in the european journal of the nutrition certain mineral waters rich in magnesium and sodium and as you remember we already check magnesium together with the enzymatic or enzyme relation things and together with the mineral water before and we had a kinds of relation there and fragrance and the consistency during the constipation especially in infants and etc so my main point here is that if you understand phrase based indexing and the phrase co-occurrence for understanding the context flow you will realize that certain types of words they appear page side but some of them appear only in the certain section of the page if i look at the word constipation for instance you will realize that it will be appearing especially a certain section of the web page and if i choose the water for instance this specific co-occurrence it will be appearing only inside the constipation section if i look at the next section you won't see any yellow mark here because we don't have constipation that much from time to time we have we have it in the context of digestion and we mentioned that actually constipation is related digestion and we talk about the order of these specific headings while we are creating the brief or while examining the content and content brief as well but as you see if i go to the digestion in this section and if i show it if you look at the co-occurrences in this case and if i go that section directly it's a little bit too much scrolling and if i come to this area you will realize that digestion actually appears more than directly the constipation in this section and if i go other areas the nearly both of them don't appear anymore and if i use the word let's say immunity or the immune system or something like that i have some certain type of other occurrences directly for the immunity related or immune system related sections as well so my main point is that while we are focusing on specific co-occurrences as much as possible and while using always uniquely designed images but we will be talking about the image design later and while we are using it we always create a kinds of a kinds of contextual dance for certain type of sections if i use the word stone or the kidney you will again realize that it appears in certain type of areas if i choose for instance one of the contextual words in this area let's say uric or cysteine if i choose it for instance we see that the word acid appears multiple times but if i use with the uric it appears in only inside the kidney stone which means that water kidney stone and the uric acid are united together in this area if i search for this uric let's say water and i can even search for stone instead of kidney stone actually and here we have uric as stones symptoms and the treatment and water is also here three the treatment is drinking plenty of water which means it is one of the benefits as you know inside the generative ai we have chain of reasoning which means we are able to connect these things to each other while inferring further information natural language inferring it is one of the important sections as well as much as processing understanding and generation of natural language inferring is important too in this area while focusing on this type of co-accurances we are creating a different type of contextual domain for only that subsection. If I actually represent what we do in this area with a paint diagram, let's say we have a macro context and this macro context will be appearing in all the sections of the website web page directly, then we have certain type of subsections. And always, we see that even if macro context terms appear page side side, some certain type of words, let's say this is stone, it appears here, but it doesn't appear directly in this area. Here we have immune system. But when we look at the water benefit or drinking or during morning, etc., they appear actually in all of the sections. Basically, we play with the statistical linguistics and distributional semantics by distributing these things for creating new co-occurrences. Distributional semantics or let's say quantitative algorithms, the search engines, they are easier to work or trigger and to be able to give the initial ranking scores. When it comes to initial rankings, it is important to give richer and more dense co-occurrence matrices to reflect our context in a better way. If you're able to do this in a really good way, your initial rankings will be better. According to ranking algorithms, if you have a good initial ranking, all the other ranking iterations, they will always be giving you a better ranking score as well. That's why initial rankings, they are, probably the most important thing in the ranking algorithm is because you have a higher initial ranking, it will always be affecting you in the future steps, in the future algorithms as well. And that's why we are trying to give this type of example nouns. When we tell mineral crystals, we give calcium, uric acid, streptococci or cysteine here in this specific example to be able to give a better, let's say, relevance and the combination of these terms and it will be reflected. For relevance calculation in this area as well. Thank you.