February 2016
Intermediate to advanced
556 pages
11h 53m
English
Until now, when discussing language analysis, we've talked mostly about theory. We didn't see an example regarding language analysis, handling multiple languages that our data can consist of, and so on. Now this will change, as this section is dedicated to information about how we can handle data in multiple languages.
As you already know, Elasticsearch allows us to choose different analyzers for our data. We can have our data divided on the basis of whitespaces, or have them lowercased, and so on. This can usually be done regardless of the language –the same tokenization on the basis of whitespaces will work for English, German, and Polish, although it won't work for Chinese. ...
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