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59 lines
2.3 KiB
Transact-SQL
59 lines
2.3 KiB
Transact-SQL
/*
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To install the pretrained model in SQL Server, open an elevated CMD promtp:
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1. Navigate to the SQL Server installation path:
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C:\<SQL SERVER Installation path>\Microsoft SQL Server\140\Setup Bootstrap\SQL2017\x64
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2. Run the following command:
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RSetup.exe /install /component MLM /<version>/language 1033 /destdir <SQL_DB_instance_folder>\PYTHON_SERVICES\Lib\site-packages\microsoftml\mxLibs
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Example:
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RSetup.exe /install /component MLM /version 9.2.0.24 /language 1033 /destdir "C:\Program Files\Microsoft SQL Server\MSSQL14.MSSQLSERVER\PYTHON_SERVICES\Lib\site-packages\microsoftml\mxLibs"
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The models will be downloaded and extracted.
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*/
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USE [tpcxbb_1gb]
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GO
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--******************************************************************************************************************
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-- STEP 1 Stored procedure that uses a pretrained model to determine sentiment of a text, such as a product review
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--******************************************************************************************************************
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CREATE OR ALTER PROCEDURE [dbo].[get_sentiment]
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(@text NVARCHAR(MAX))
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AS
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BEGIN
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DECLARE @script nvarchar(max);
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--The Python script we want to execute
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SET @script = N'
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import pandas as p
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from microsoftml import rx_featurize, get_sentiment
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analyze_this = text
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# Create the data
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text_to_analyze = p.DataFrame(data=dict(Text=[analyze_this]))
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# Get the sentiment scores
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sentiment_scores = rx_featurize(data=text_to_analyze,ml_transforms=[get_sentiment(cols=dict(scores="Text"))])
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# Lets translate the score to something more meaningful
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sentiment_scores["Sentiment"] = sentiment_scores.scores.apply(lambda score: "Positive" if score > 0.6 else "Negative")
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';
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EXECUTE sp_execute_external_script
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@language = N'Python'
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, @script = @script
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, @output_data_1_name = N'sentiment_scores'
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, @params = N'@text nvarchar(max)'
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, @text = @text
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WITH RESULT SETS (("Text" NVARCHAR(MAX),"Score" FLOAT, "Sentiment" NVARCHAR(30)));
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END
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GO
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--******************************************************************************************************************
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-- STEP 2 Execute the stored procedure to get sentiment of your own text
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--******************************************************************************************************************
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EXECUTE [dbo].[get_sentiment] N'ENTER YOUR OWN TEXT HERE';
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GO
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