Many SEO tools and consultants base their content creation and/or optimization on Why does the the TF*IDF method. While TF*IDF may seem like it improves our content . It doesn’t actually solve SEO problems.
As you learn more about its use and how it mexico telegram data works, you will discover that using TF-IDF can mislead your content optimizations.
What is TF*IDF?
TF-IDF (for Term Frequency and Inverse Document Frequency) is a metric used to determine the relevance of a term in a document. The formula takes into account the frequency of a term (TF) in a given document as well as the number of documents containing this word (IDF). TF-IDF makes it possible to distinguish the differentiating elements (in this case, words) from one document to another.
To learn more about the method and its calculation, go here https://www.seoquantum.com/billet/optimisez-vos-contenus-mots-rares
Does Google use the TF IDF method? Is this metric still relevant?
Google (via John Mueller) has hinted that the search engine’s use of this method is limited . It first mentions TF-IDF when discussing the topic of excluding stop words.
This is not surprising given the advancements in the Knowledge Graph database and the Colibri and Rankbrain algorithms . Google is indeed constantly evolving. Its language understanding continues to improve as it learns to deal with the ambiguities of human language.
Google is also improving its ability to handle queries with multiple meanings. However, the algorithm is far from perfect. As we’ll see, this poses a serious challenge to those using the TF-IDF analysis method for content optimization.
In a world where AI, neural networks, and machine learning are the norm, TF-IDF is obsolete. It’s a bit like comparing a Renault 4L to a Tesla.
Despite Google’s limited use of this dated technology, many SEO consultants and semantic tools appreciate TF-IDF. Why?
TF-IDF is a relatively unknown concept within the ao dar destaque igual a cada SEO community. Because they’re unfamiliar with this analysis method, many SEO experts or tools mistakenly assume it’s cutting-edge technology. This gives it a certain prestige.
Few people know the history of TF-IDF. Most don’t know its true age (the 1970s) or its true purpose. Hint: This method wasn’t created for content optimization. For more information, see the work of G. Salton and K. Spärck Jones .
SEO experts believe that TF-IDF plays an important role in the functioning of Google’s search algorithms. Because several patents and some publications refer to it, there is a misconception about the role this technology plays.
TF-IDF appears to be a sophisticated method to most SEO cn leads consultants. It’s rare for them to have any training in data science, which is why it’s easy for them to assume that the apparent complexity of this method translates into its effectiveness.
Who wouldn’t love to use sophisticated, revolutionary technology for engine optimization? It sounds so promising!
Except it isn’t.
6 difficulties encountered with the TF IDF
There are several free and inexpensive SEO tools that promise to help you optimize your content using the TF-IDF analysis method. All of these tools have the following problems.