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https://issues.apache.org/jira/browse/HIVE-1518?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Carl Steinbach updated HIVE-1518:
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Component/s: (was: Query Processor)
UDF
Affects Version/s: (was: 0.6.0)
0.7.0
> context_ngrams() UDAF for estimating top-k contextual n-grams
> -------------------------------------------------------------
>
> Key: HIVE-1518
> URL: https://issues.apache.org/jira/browse/HIVE-1518
> Project: Hive
> Issue Type: New Feature
> Components: UDF
> Affects Versions: 0.7.0
> Reporter: Mayank Lahiri
> Assignee: Mayank Lahiri
> Fix For: 0.7.0
>
> Attachments: HIVE-1518.1.patch, HIVE-1518.2.patch, HIVE-1518.3.patch,
> HIVE-1518.4.patch, HIVE-1518.5.patch
>
>
> Create a new context_ngrams() function that generalizes the ngrams() UDAF to
> allow the user to specify context around n-grams. The analogy is
> "fill-in-the-blanks", and is best illustrated with an example:
> SELECT context_ngrams(sentences(tweets), array("i", "love", null), 300) FROM
> twitter;
> will estimate the top-300 words that follow the phrase "i love" in a database
> of tweets. The position of the null(s) specifies where to generate the n-gram
> from, and can be placed anywhere. For example:
> SELECT context_ngrams(sentences(tweets), array("i", "love", null, "but",
> "hate", null), 300) FROM twitter;
> will estimate the top-300 word-pairs that fill in the blanks specified by
> null.
> POSSIBLE USES:
> 1. Pre-computing search lookaheads
> 2. Sentiment analysis for products or entities -- e.g., querying with context
> = array("twitter", "is", null)
> 3. Navigation path analysis in URL databases
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