Using Shingles and Stop words with Elasticsearch and Lucene 4.4

Question

In the index I'm building, I'm interested in running a query, then (using facets) returning the shingles of that query. Here's the analyzer I'm using on the text:

{
  "settings": {
    "analysis": {
      "analyzer": {
        "shingleAnalyzer": {
          "tokenizer": "standard",
          "filter": [
            "standard",
            "lowercase",
            "custom_stop",
            "custom_shingle",
            "custom_stemmer"
          ]
        }
      },
      "filter": {
        "custom_stemmer" : {
            "type": "stemmer",
            "name": "english"
        },
        "custom_stop": {
            "type": "stop",
            "stopwords": "_english_"
        },
        "custom_shingle": {
            "type": "shingle",
            "min_shingle_size": "2",
            "max_shingle_size": "3"
        }
      }
    }
  }
}

The major issue is that, with Lucene 4.4, stop filters no longer support the enable_position_increments parameter to eliminate shingles that contain stop words. Instead, I'd get results like..

"red and yellow"

"terms": [
    {
        "term": "red",
        "count": 43
    },
    {
        "term": "red _",
        "count": 43
    },
    {
        "term": "red _ yellow",
        "count": 43
    },
    {
        "term": "_ yellow",
        "count": 42
    },
    {
        "term": "yellow",
        "count": 42
    }
]

Naturally this GREATLY skews the number of shingles returned. Is there a way post-Lucene 4.4 to manage this without doing post-processing on the results?

duplicate question: stackoverflow.com/questions/22609100/… — paweloque

Curious Curious · Accepted Answer · 2015-06-05T05:34:34

Probably not the most optimal solution, but the most blunt would be to add another filter to your analyzer to kill "_" filler tokens. In the example below I called it "kill_fillers":

   "shingleAnalyzer": {
      "tokenizer": "standard",
      "filter": [
        "standard",
        "lowercase",
        "custom_stop",
        "custom_shingle",
        "custom_stemmer",
        "kill_fillers"
       ],
       ...

Add "kill_fillers" filter to your list of filters:

"filters":{
...
  "kill_fillers": {
    "type": "pattern_replace",
    "pattern": ".*_.*",
    "replace": "",
  },
...
}

Using Shingles and Stop words with Elasticsearch and Lucene 4.4

2 Answers