While the language analyzers can be used out of the box without any configuration, most of them do allow you to control aspects of their behavior, specifically:
- Stem-word exclusion
-
Imagine, for instance, that users searching for the
World Health Organization'' are instead getting results for
organ health.'' The reason for this confusion is that bothorgan'' and
organization'' are stemmed to the same root word:organ
. Often this isn’t a problem, but in this particular collection of documents, this leads to confusing results. We would like to prevent the wordsorganization
andorganizations
from being stemmed. - Custom stopwords
-
The default list of stopwords used in English are as follows:
a, an, and, are, as, at, be, but, by, for, if, in, into, is, it, no, not, of, on, or, such, that, the, their, then, there, these, they, this, to, was, will, with
The unusual thing about
no
andnot
is that they invert the meaning of the words that follow them. Perhaps we decide that these two words are important and that we shouldn’t treat them as stopwords.
To customize the behavior of the english
analyzer, we need to
create a custom analyzer that uses the english
analyzer as its base but
adds some configuration:
PUT /my_index
{
"settings": {
"analysis": {
"analyzer": {
"my_english": {
"type": "english",
"stem_exclusion": [ "organization", "organizations" ], (1)
"stopwords": [ (2)
"a", "an", "and", "are", "as", "at", "be", "but", "by", "for",
"if", "in", "into", "is", "it", "of", "on", "or", "such", "that",
"the", "their", "then", "there", "these", "they", "this", "to",
"was", "will", "with"
]
}
}
}
}
}
GET /my_index/_analyze?analyzer=my_english (3)
The World Health Organization does not sell organs.
-
Prevents
organization
andorganizations
from being stemmed -
Specifies a custom list of stopwords
-
Emits tokens
world
,health
,organization
,does
,not
,sell
,organ
We discuss stemming and stopwords in much more detail in [stemming] and [stopwords], respectively.