Phrase Extraction Jobs
Identify multi-word phrases in signals.
Default job name |
|
Input |
Raw signals (the |
Output |
Extracted phrases (the |
query |
count_i |
type |
timstamp_tdt |
user_id |
doc_id |
session_id |
fusion_query_id |
|
---|---|---|---|---|---|---|---|---|
Required signals fields: |
This job writes to the COLLECTION_NAME_query_rewrite_staging
collection. It also uses reviewed documents from that collection to improve the accuracy of the job. You can review, edit, deploy, or delete output from this job using the Query Rewriting.
Fusion ships with the OpenNLP Maxent model already loaded in the blob store.
This job’s output, and output from the Token and Phrase Spell Correction job, can be used as input for the Synonym Detection job.
Minimum configuration
For most use cases, the minimum configuration for this job consists of these fields:
-
id
/Spark Job IDGive this job an arbitrary ID string.
-
trainingCollection
/Training CollectionSpecify the input collection.
-
fieldToVectorize
/Field to VectorizeSpecify the field in the input collection where phrases can be found.
-
outputCollection
/Output CollectionSpecify the collection in which the output documents should be indexed.
When running this job over a content document collection, be sure to set attachPhrases /Extract Key Phrases from Input Text to "true". The default is "false", which works well when running the job over a signals collection.
|
Output documents
By default, the job only outputs the phrases found from the original document. In each row of the phrases output, these fields are most useful:
-
The phrase itself is in the
phrases_s
field, which can be used for faceting. -
The
likelihood_d
field gives the likelihood that the phrase is legitimate, from 0 to infinity.Low-probability phrases are automatically trimmed from the results.
-
When a phrase’s likelihood value is ambiguous, the
review
field is set to "true" to indicate that the phrase should be reviewed. -
A
phrase_count
field indicates the number of instances of the phrase in the input collection.
The complete list of output fields is shown below.
Output fields
|
The name of the Phrase Extraction job that generated this document. |
|
This is always |
|
A unique ID for this document. |
|
The collection used for this job’s input. |
|
The likelihood that this |
|
The number of occurrences of this phrase in the input collection. |
|
The phrase detected by the job. |
|
"True" indicates that this may not be a valid phrase and should be reviewed. |
|
This is always "1". |
|
The date and time when the document was generated. |
|
The number of words in this phrase. |
|
An internal Solr field used for partial updates. |
If the attachPhrases
/Extract Key Phrases from Input Text parameter is set to "true", then the job also outputs the original documents from the input collection with an appended field, phrases_extracted_tt
, that lists the extracted phrases from this document.
The way to distinguish the phrases output from the original document output is by the field doc_type_s
, with one of these values:
-
key_phrases
denotes phrases output. -
original_doc_with_phrases
denotes the original documents.