Natural Language Processing With Apache Spark
This article focuses on natural language processing (text munging and machine learning) on the Apache Spark platform.
Join the DZone community and get the full member experience.
Join For FreeThere are a lot of exciting things going on in Natural Language Processing (NLP) in the Apache Spark world. There's a ton of libraries and new work going on in OpenNLP and StanfordNLP.
There's a lot of interesting applications that can be done using NLP and large sources of text, a few notes, presentations and code examples that follow will be helpful.
The last few Apache Spark Summit's have produced some great talks on NLP.
From NBCU, is this cool talk on Use of Spark MLib for Predicting the Offlining of Digital Media
- NLP on a Billion Documents: Scalable Machine Learning with Apache Spark using Python
From the Advanced Apache Spark Meetup in San Francisco, there were a ton of great documents and source code:
Opinions expressed by DZone contributors are their own.
Trending
-
Writing a Vector Database in a Week in Rust
-
Building the World's Most Resilient To-Do List Application With Node.js, K8s, and Distributed SQL
-
Integrating AWS With Salesforce Using Terraform
-
The Role of AI and Programming in the Gaming Industry: A Look Beyond the Tables
Comments