How to do Topic Modelling in Python using PySpark LDA

Pyspark integrates the power of spark with python. Latent Dirichlet Allocation is a popular method of Topic Modelling. But it's computation intensive and involves several comparisons. Topic Modelling is much easier and faster with the integration of Spark & Python. This video demonstrates with code, how to generate a Topic Model in Python using PySpark for a set of tokenized headlines. It depicts data flow diagram of Topic Modelling at every stage. Covers the data transformations during data preparation phaseof Pyspark Latent Dirichlet Allocation. =========================================================== Subscribe channel: https://t.ly/V1WC More videos: https://youtu.be/V7b1sJ7e7Dk How to handle Missing Values in Python, using Rank Method https://youtu.be/C5SS8ftNxPc How to DeDuplicate in Python using Hashing Technique https://youtu.be/TG0-yPJPTXU How to Convert Pandas Dataframe to Spark Dataframe | Using PySpark https://youtu.be/bkNeOjJ8N50 How PySpark Self-Join Simplifies Data Flattening https://youtu.be/DX6JhmaTvJY How PySpark Binary Classification Simplifies Prediction? https://youtu.be/MdWLphGAwJ How to run Linear Regression in Python using PySpark? #pyspark #dataengineer #LDA