Several search methods have been used since search engines exist in web applications. We can, for instance, think of tags assigned to a blog article that help in classifying the articles and allow to search for articles with a given tag. This method is also used when you assign keywords to a given document. This method is quite simple to implement, but is also very limited: what if you forget an important keyword?
Fortunately, one can also use full-text search, which consists of matching documents whose text contains the pattern entered by the user. In that case, no need to manually annotate documents with keywords, the full text of the document can be used to index it. Tools such as Elasticsearch are extremely good at indexing text documents and performing full-text searches within them.
But this method is still not perfect. What if the user chooses a different wording to the one you use, but with a similar meaning? Let's say you write about machine learning. Wouldn...
