Models and Pipelines for the Spark NLP library
-
Updated
Aug 12, 2021 - Jupyter Notebook
Models and Pipelines for the Spark NLP library
Tutorial for Topic Modelling using PySpark and Spark NLP
Deep Learning notes and practical implementation with Tensorflow and keras. Text Analytics and practical application implementation with NLTK, Spacy and Gensim.
Instructions and code for the workshop "From Big Data to NLP Insights: Unlocking the Power of PySpark and Spark NLP"
Miscellaneous codes and writings for MLOps
Python scripts to process, and analyze log files using PySpark.
contains notebooks on topic modeling, spark and pandas implementation
Compilation of NLP notebooks from various sources that address several technical challenges.
NLP functions with John Snow's Spark NLP in the Java language
A repository of notebooks and data sources for data engineers, data analysts and data scientists, chiefly proof of concept level
Testing and benchmarking some of the existing NLP libraries in Apache Spark
Final Project for Harvard's Scala for Big Data Systems course
SparkNLP and Healthcare SparkNLP based analysis of scientific literature on equine colic.
Final project of "Big Data Analytics and Business Intelligence" course.
Project that captures information about all Dark Souls 3 (DS3) weapons and performs textual analysis on.
Perform sentiment analysis on Yelp dataset with Apache Spark
Add a description, image, and links to the spark-nlp topic page so that developers can more easily learn about it.
To associate your repository with the spark-nlp topic, visit your repo's landing page and select "manage topics."