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com.mitchseymour:ksql-udf-sentiment-analysis
Advanced tools
KSQL UDF that uses the Google Cloud Natural Language API to perform sentiment analysis on streams of text
This repository contains custom KSQL UDFs and UDAFs built by the Magical Pipelines team. An overview of each function, including usage details, can be found in the function's subdirectory.
All of the JARs are deployed to Maven central, and can be viewed here. To install any of these KSQL UDFs / UDAFs, simply download the appropriate JAR file from Maven central and place it in the KSQL extension directory; If you're not sure what the KSQL extension directory is set to for your KSQL deployment, run the following query from the KSQL CLI.
ksql> SHOW PROPERTIES ;
Property | Default override | Effective Value
-------------------------------------------------------------------------------------------------------------------------------------------
ksql.extension.dir | SERVER | /tmp/ext
...
...
Below are the custom functions that are currently available.
COLOR_TO_HEX
: experimental polyglot (ruby) UDF that converts colors to hex stringsDIALOGFLOW
: build conversational interfaces (virtual assistants, intelligent chatbots, etc)PREDICT_SPAM
: experimental UDF that predicts whether or not a string of text is spamSENTIMENT
: perform sentiment analysis on streams of textSUMMARY_STATS
: calculate summary statistics (mean, standard deviation, sample size, etc) for streams of data.FAQs
KSQL UDF that uses the Google Cloud Natural Language API to perform sentiment analysis on streams of text
We found that com.mitchseymour:ksql-udf-sentiment-analysis demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 0 open source maintainers collaborating on the project.
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