Add jieba-php for PHP Natural Language Processing

Add jieba-php for PHP Natural Language Processing, "Jieba" (Chinese for
"to stutter”) is a Chinese text segmentation library for natural
language processing.
This commit is contained in:
Fukuball Lin 2015-12-16 02:50:26 +08:00
parent 9b13491282
commit 9f8dfe4568

View File

@ -64,6 +64,7 @@ For a list of free machine learning books available for download, go [here](http
- [Objective C](#objectivec)
- [General-Purpose Machine Learning](#objectivec-general-purpose)
- [PHP](#php)
- [Natural Language Processing](#php-nlp)
- [General-Purpose Machine Learning](#php-general-purpose)
- [Python](#python)
- [Computer Vision](#python-cv)
@ -244,7 +245,7 @@ For a list of free machine learning books available for download, go [here](http
<a name="java-nlp" />
#### Natural Language Processing
* [Cortical.io](http://www.cortical.io/) - Retina: an API performing complex NLP operations (disambiguation, classification, streaming text filtering, etc...) as quickly and intuitively as the brain.
* [Cortical.io](http://www.cortical.io/) - Retina: an API performing complex NLP operations (disambiguation, classification, streaming text filtering, etc...) as quickly and intuitively as the brain.
* [CoreNLP](http://nlp.stanford.edu/software/corenlp.shtml) - Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words
* [Stanford Parser](http://nlp.stanford.edu/software/lex-parser.shtml) - A natural language parser is a program that works out the grammatical structure of sentences
* [Stanford POS Tagger](http://nlp.stanford.edu/software/tagger.shtml) - A Part-Of-Speech Tagger (POS Tagger
@ -299,7 +300,7 @@ For a list of free machine learning books available for download, go [here](http
* [Spark](https://github.com/apache/spark) - Spark is a fast and general engine for large-scale data processing.
* [Impala](https://github.com/cloudera/impala) - Real-time Query for Hadoop
* [DataMelt](http://jwork.org/dmelt/) - Mathematics software for numeric computation, statistics, symbolic calculations, data analysis and data visualization.
* [Dr. Michael Thomas Flanagan's Java Scientific Library](http://www.ee.ucl.ac.uk/~mflanaga/java/)
* [Dr. Michael Thomas Flanagan's Java Scientific Library](http://www.ee.ucl.ac.uk/~mflanaga/java/)
<a name="java-deep-learning" />
#### Deep Learning
@ -337,7 +338,7 @@ For a list of free machine learning books available for download, go [here](http
* [science.js](https://github.com/jasondavies/science.js/) - Scientific and statistical computing in JavaScript.
* [Z3d](https://github.com/NathanEpstein/Z3d) - Easily make interactive 3d plots built on Three.js
* [Sigma.js](http://sigmajs.org/) - JavaScript library dedicated to graph drawing.
* [C3.js](http://c3js.org/)- customizable library based on D3.js for easy chart drawing.
* [C3.js](http://c3js.org/)- customizable library based on D3.js for easy chart drawing.
* [ZingChart](http://www.zingchart.com/)- library written on Vanilla JS for big data visualization.
* [cheminfo](http://www.cheminfo.org/) - Platform for data visualization and analysis, using the [visualizer](https://github.com/npellet/visualizer) project.
@ -600,6 +601,11 @@ on MNIST digits[DEEP LEARNING]
<a name="php">
## PHP
<a name="php-nlp">
### Natural Language Processing
* [jieba-php](https://github.com/fukuball/jieba-php) - Chinese Words Segmentation Utilities.
<a name="php-general-purpose">
### General-Purpose Machine Learning
@ -611,7 +617,7 @@ on MNIST digits[DEEP LEARNING]
<a name="python-cv" />
#### Computer Vision
* [Scikit-Image](https://github.com/scikit-image/scikit-image) - A collection of algorithms for image processing in Python.
* [Scikit-Image](https://github.com/scikit-image/scikit-image) - A collection of algorithms for image processing in Python.
* [SimpleCV](http://simplecv.org/) - An open source computer vision framework that gives access to several high-powered computer vision libraries, such as OpenCV. Written on Python and runs on Mac, Windows, and Ubuntu Linux.
* [Vigranumpy](https://github.com/ukoethe/vigra) - Python bindings for the VIGRA C++ computer vision library.
@ -647,7 +653,7 @@ on MNIST digits[DEEP LEARNING]
* [Featureforge](https://github.com/machinalis/featureforge) A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
* [MLlib in Apache Spark](http://spark.apache.org/docs/latest/mllib-guide.html) - Distributed machine learning library in Spark
* [scikit-learn](http://scikit-learn.org/) - A Python module for machine learning built on top of SciPy.
* [metric-learn](https://github.com/all-umass/metric-learn) - A Python module for metric learning.
* [metric-learn](https://github.com/all-umass/metric-learn) - A Python module for metric learning.
* [SimpleAI](http://github.com/simpleai-team/simpleai) Python implementation of many of the artificial intelligence algorithms described on the book "Artificial Intelligence, a Modern Approach". It focuses on providing an easy to use, well documented and tested library.
* [astroML](http://www.astroml.org/) - Machine Learning and Data Mining for Astronomy.
* [graphlab-create](http://graphlab.com/products/create/docs/) - A library with various machine learning models (regression, clustering, recommender systems, graph analytics, etc.) implemented on top of a disk-backed DataFrame.
@ -961,7 +967,7 @@ on MNIST digits[DEEP LEARNING]
<a name="swift-general-purpose" />
#### General-Purpose Machine Learning
* [BrainCore](https://github.com/aleph7/BrainCore) - The iOS and OS X neural network framework
* [BrainCore](https://github.com/aleph7/BrainCore) - The iOS and OS X neural network framework
* [swix](https://github.com/scottsievert/swix) - A bare bones library that
includes a general matrix language and wraps some OpenCV for iOS development.