Understanding the Working of TFIDF for SEO

The reach of the human mind is everywhere. It is a wonderful thing. For instance, when your colleague asks you to ‘run the topic by me’, it implies he wants you to explain the topic to him before taking it to the boss. It does not imply that you have to go running with the topic. Your mind determined what your friend or colleague meant by simply looking at the context in which they had given the statement.

This is how a search engine would determine if the post were relevant to a search query or not. The days are long gone when you require going through the lengthy posts, mostly irrelevant to your specific search. Google comes out with different and latest algorithms to help you in the best possible way. Among the several options that you may have come across, your best bet would be to look for tfidfseotool.com.

Let us discuss the Term Frequency Inverse Document Frequency algorithm. It would be in your best interest to determine how the TFIDF tool would apply to SEO. Foremost, let us delve into the meaning of TFIDF.

Meaning of TFIDF

Understanding TFIDF would require you to get a good grasp of two important concepts – TF and IDF. The term TF stands for Term Frequency and IDF stands for Inverse Document Frequency.

The first concept has been relatively easy to understand. If you wish to know what TF is for a specific word ‘marketing’ in a document, consider counting the number of times the word appeared in your document. If it appears 15 times, it implies that the TF or Term Frequency for the word ‘marketing’ is 15.

The second concept, IDF has been slightly complex for you to understand easily. If you look for the word ‘marketing’ in 100 documents and found it in 10, rest assured that the IDF is log 10. T get the TFIDF score, you would be required to multiply the TF value by the IDF value.

Working of TFIDF for SEO

It would not be wrong to suggest that search engines used the TFIDF formula for determining the relevance of a specific post regarding the search query on popular search engines. Let us delve into the working of the formula. If you have a post where you have ten most commonly used terms such as business, email marketing, online, internet, money, sales, profit, leads, products, and conversions, the search engine would check the list of predetermined articles or posts. It would be called the corpora. It would help you determine the article or post. In such a scenario, the corpora would be the business-related posts and articles, as most terms mentioned here are business-like.

Using the process, the engines would see the terms profit, business, money, sales, and products in several other documents. Therefore, you would have terms such as email marketing, online, internet, conversions, and leads. Rest assured that these would be the unique terms for identifying the topic.

Gaining knowledge of these terms would help the engine know about the context of the article or post such as email marketing to drive leads and conversions. A useful article for a specific search query would appear in search results.