ElasticSearch results are inaccurate - elasticsearch

Question

My current query is:
GET /index/_search
{
"query": {
"simple_query_string": {
"query": "(\"cheaper+than,+therapy\")",
"analyzer": "standard",
"flags": "OR|AND",
"fields": ["name"]
}
}
}
My main problem is at the moment this still find matches like "GOLF . . . CHEAPER THAN THERAPY". I don't want matches like this. I want to maybe fix some typo and normalize the search query but i don't want to extend them. So in this result the TM's "GOLF . . . CHEAPER THAN THERAPY" and "RUNNING IS: CHEAPER THAN THERAPY" should not be a result.
So the result should just show results which are almost the same as my search query is.
I try something with fuzzienes and so on but it does not help me.
The field name is a text field.
I await the following results:
CHEAPER THAN THERAPY
CHEAPER THAN, THERAPY
I dont await the following results:
GOLF . . . CHEAPER THAN THERAPY
"CHEAPER THAN THERAPY" MOORENKO'S
SHOPPING IS CHEAPER THAN THERAPY!
RUNNING IS: CHEAPER THAN THERAPY
CHEAPER THAN THERAPY AND WAY MORE FUN!
What do I have to do to get more accurate results?

Answer 1

You can use fuzzy query on keyword field.
The standard analyzer is the default analyzer which is used if none is specified. It provides grammar based tokenization. Basically it breaks a text in number of tokens.
So when you are using simple_query_string it is just checking if any document has tokens ["CHEAPER","THAN","THERAPY"] in it.
You can use fuzzy query on text.keyword which will match whole string
{
"query": {
"fuzzy": {
"text.keyword": {
"value": "CHEAPER THAN THERAPY",
"fuzziness": "AUTO"
}
}
}
}
Result
[
{
"_index" : "index129",
"_type" : "_doc",
"_id" : "pnXJM3oBX7bKb5rQ30Vb",
"_score" : 1.6739764,
"_source" : {
"text" : "CHEAPER THAN THERAPY"
}
},
{
"_index" : "index129",
"_type" : "_doc",
"_id" : "p3XJM3oBX7bKb5rQ60UT",
"_score" : 1.5902774,
"_source" : {
"text" : "CHEAPER THAN, THERAPY"
}
}
]