Models and Pipelines for the Spark NLP library
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Updated
Aug 12, 2021 - Jupyter Notebook
Models and Pipelines for the Spark NLP library
Tutorial for Topic Modelling using PySpark and Spark NLP
A repository of notebooks and data sources for data engineers, data analysts and data scientists, chiefly proof of concept level
Instructions and code for the workshop "From Big Data to NLP Insights: Unlocking the Power of PySpark and Spark NLP"
Final project of "Big Data Analytics and Business Intelligence" course.
SparkNLP and Healthcare SparkNLP based analysis of scientific literature on equine colic.
contains notebooks on topic modeling, spark and pandas implementation
Testing and benchmarking some of the existing NLP libraries in Apache Spark
An implementation of NLP Sandbox PHI Annotator API based on Spark NLP
This project is a Spark ML pipeline using Pyspark for NLP, using annotators: DocumentAssembler, Tokenizer, WordEmbeddingsModel, PerceptronModel & NerCrfModel. It prints a transformed DataFrame showing POS & NER columns, and analyzes any relationship between found entities & their POS attributes. Hands-on experience with Spark, Pyspark & Spark-NLP.
NLP functions with John Snow's Spark NLP in the Java language
Project that captures information about all Dark Souls 3 (DS3) weapons and performs textual analysis on.
Final Project for Harvard's Scala for Big Data Systems course
Python scripts to process, and analyze log files using PySpark.
Text summarization algorithms using PySpark
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