How to build an N-Gram relationship in Elasticsearch - node.js

Question

I am new to Elasticsearch, and I am looking to build a Front-End app which has a list of proverbs. As the user browses these proverbs, I want them to find related N-Gram proverbs, or analytic proverbs from the Proverb DB. For example when clicking on
"A watched pot never boils" would bring the following suggestions:
1-Gram suggestion:
"Two pees in a pot"
2-Gram suggestion:
"A Watched pot tastes bitter"
Analytical suggestion: "Too many cooks spoil the broth"
Is there a way to do that in ES, or do I need to build my own logic ?

Answer 1

The 1-gram suggestion works out of the box and the 2-gram suggestions can easily be achieved with shingle.
Here is an attempt
PUT test
{
"settings": {
"analysis": {
"analyzer": {
"2-grams": {
"type": "custom",
"tokenizer": "standard",
"filter": [
"lowercase",
"shingles"
]
}
},
"filter": {
"shingles": {
"type": "shingle",
"min_shingle_size": 2,
"max_shingle_size": 2,
"output_unigrams": false
}
}
}
},
"mappings": {
"properties": {
"text": {
"type": "text",
"analyzer": "standard",
"fields": {
"2gram": {
"type": "text",
"analyzer": "2-grams"
}
}
}
}
}
}
Next index some documents:
PUT test/_doc/1
{
"text": "Two pees in a pot"
}
PUT test/_doc/2
{
"text": "A Watched pot tastes bitter"
}
Finally, you can search for 1-gram suggestions using the following query and you'll get both documents in the response:
POST test/_search
{
"query": {
"match": {
"text": "A watched pot never boils"
}
}
}
You can also search for 2-gram suggestions using the following query and only the second document will come up:
POST test/_search
{
"query": {
"match": {
"text.2gram": "A watched pot never boils"
}
}
}
PS: Not sure how the "analytical" suggestion works, though, feel free to provide more insights, and I'll update.