Natural Language Understanding
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Natural Language Understanding
Natural Language Processing
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15 Python Libraries for Data Science

15 Python Libraries for Data Science | Natural Language Understanding | Scoop.it
If you’ve read our introduction to Python, you already know that it’s one of the most widely used programming languages today, celebrated for its efficiency and code readability. As a programming…
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Experiencing deeper productivity in open data science

Experiencing deeper productivity in open data science | Natural Language Understanding | Scoop.it
Discover how you can use Apache Spark and R to pursue open analytics by building your own data science applications.
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Using Python to Detect Haikus in the Public Twitter Stream - h6o6

Using the Natural Language Tool Kit (NLTK) and Python, Haikus can be found in the public Twitter stream. Source code and implications of this are explored.
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The Stanford NLP (Natural Language Processing) Group

The Stanford NLP (Natural Language Processing) Group | Natural Language Understanding | Scoop.it
Stanford Natural Language
Processing and Computational Linguistics Group
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Apache OpenNLP - Welcome to Apache OpenNLP

Apache OpenNLP is a Java machine learning toolkit for natural language processing (NLP).
It supports the most common NLP tasks.
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Machine Learning Trends and the Future of Artificial Intelligence

Machine Learning Trends and the Future of Artificial Intelligence | Natural Language Understanding | Scoop.it
By Matt Kiser, Algorithmia. Every company is now a data company, capable of using machine learning in the cloud to deploy intelligent apps at scale, thanks to three machine learning trends: data flywheels, the algorithm economy, and cloud-hosted...
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OpenNLP example

OpenNLP example | Natural Language Understanding | Scoop.it
This tutorial is for showing how to use OpenNLP. The OpenNLP examples in this tutorial are all fully tested and working fine. You can directly copy out the code and start using them.
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MSTParser

MSTParser is a non-projective dependency parser that searches for maximum spanning trees over directed graphs. Models of dependency structure are based on ...
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