LSI can be used to compare term to term, document to document, and term to document. As a more specific example, it is used to find neighboring terms these are the terms whose weights are closest, to find a group of words that are closely related to a concept. These can be not only synonyms, but also opposites, or simply words that are often used together with the main topic. Due to the word "clustering LSI", it works very well for document search and classification.
LSI keywords are words that are semantically related to the topic keywords.
If the primary keyword for your page is "credit card," then the LSI keywords would be things like "money," "credit score," "credit limit," or "interest rate." However, they are not synonyms different words that mean the same thing. They are closely related words that help define the topic of the page.
To simply understand what LSI keywords are, let’s look at georgia mobile database a random query, such as “climate change.” First, think about the association you have with the word phrase.
How to find LSI keywords from Google Keyword Tool
If you type it into the search bar, you’ll get a bunch of pages of all kinds. Google pulled the definition of the term from Wikipedia in the featured snippet, highlighting the most important terms related to climate change in bold: “ice melting,” “ocean warming,” “sea level rise,” and “ocean acidification.”
Further down the search results page, we’ll find some more related terms like “global warming,” “greenhouse gas emissions,” etc. These are the words and phrases that appear next to our main keyword term in most of the texts.