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An Experimentation Pipeline for Extracting Topics From Text Data Using PySpark
( go to the article → https://databricks.com/blog/2021/07/29/an-experimentation-pipeline-for-extracting-topics-from-text-data-using-pyspark.html )
This post is part of a series of posts on topic modeling. Topic modeling is the process of extracting topics from a set of text documents. This is useful for understanding or summarizing large collections of text documents.  A document can be a line of text, a paragraph or a chapter in a book. The... The post An Experimentation Pipeline for Extracting Topics From Text Data Using PySpark appeared first on Databricks.
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