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So far in the Apache Lucene Fundamentals course, we got introduced to Apache Lucene, learned about the basic components of Indexing and Searching, about basic and more advanced Query (Search) Syntax Examples, we built a Search Index with Lucene and we integrated Lucene Search into an application.

In this final lesson, we will discuss how to Analysis. Analysis, in Lucene, is the process of converting field text into its most fundamental indexed representation, terms. In general, the tokens are referred to as words (we are discussing this topic in reference to the English language only) to the analyzers. However, for special analyzers the token can be with more than one words, which includes spaces also. These terms are used to determine what documents match a query during searching.

We will see how to choose the right analyzer among a list of several of them (e.g. Whitespace analyzer, Standard Analyzer, Snowball Analyzer, etc.) and how the relevant process actually works.

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