ElasticSearch - search using abbreviations - elasticsearch

Question

I am trying to setup an existing/custom analyzer that enable search using abbreviations. For example, if the text field is "Bank Of America", searching for BOfA or BOA, BofA etc should match this record.
How can I do that?

Answer 1

You can probably use synonym filter token for a custom analyzer.
For example the following mappings
{
"settings": {
"analysis": {
"analyzer": {
"my_analyzer": {
"tokenizer": "standard",
"filter": ["lowercase", "synonym_filter"]
}
},
"filter": {
"synonym_filter": {
"type": "synonym",
"synonyms": [
"bank of america,boa"
],
"expand": true
}
}
}
},
"mappings": {
"document": {
"properties": {
"text": {
"type": "text",
"analyzer": "my_analyzer",
"fielddata": true
}
}
}
}
}
Definitely you can add more to the list or use a synonym file.
For query usecases BOfA or BOA, BofA - two approaches can be worked.
1) More synonyms with these possible combination
"synonyms": [
"bank of america,boa"
"bank of america,bofa"
]
2) or keep the abrevations intact and use fuzzy query
{
"query": {
"match": {
"text" : {
"query": "bofa",
"fuzziness": 2
}
}
}
}
You will need synoyms to supply abrevations to ES.

Answer 2

I figure out something approaching using pattern_replace:
GET /_analyze
{
"tokenizer": "keyword",
"filter": [
{
"type": "pattern_replace",
"pattern": "(\\B.)",
"replacement": ""
},
{
"type": "pattern_replace",
"pattern": "(\\s)",
"replacement": ""
},
"uppercase",
{
"type": "ngram",
"min_gram": 3,
"max_gram": 5
}
],
"text": "foxes jump lazy dogs"
}
which produces:
{
"tokens": [
{
"token": "FJL",
"start_offset": 0,
"end_offset": 20,
"type": "word",
"position": 0
},
{
"token": "FJLD",
"start_offset": 0,
"end_offset": 20,
"type": "word",
"position": 0
},
{
"token": "JLD",
"start_offset": 0,
"end_offset": 20,
"type": "word",
"position": 0
}
]
}