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A Modern C++ Data Sciences Toolkit

Home Page: http://meta-toolkit.github.io/meta/

License: MIT License

CSS 2.42% C++ 97.35% C 0.16% Makefile 0.07%

meta's Introduction

MeTA: ModErn Text Analysis

Please visit our web page for information and tutorials about MeTA!

Build Status (by branch)

  • master: Build Status
  • develop: Build Status

MeTA is a modern C++ data sciences toolkit featuring

  • text tokenization, including deep semantic features like parse trees
  • inverted and forward indexes with compression and various caching strategies
  • a collection of ranking functions for searching the indexes
  • topic models
  • classification algorithms
  • graph algorithms
  • language models
  • CRF implementation (POS-tagging, shallow parsing)
  • wrappers for liblinear and libsvm (including libsvm dataset parsers)
  • UTF8 support for analysis on various languages
  • multithreaded algorithms

Documentation

Doxygen documentation can be found here.

Tutorials

We have walkthroughs for a few different parts of MeTA on the MeTA homepage.

Project setup

  • This project requires a conforming C++11 compiler. Currently, clang >= 3.3 is the de-facto compiler for use with this project, but it will work with GCC >= 4.8 as of writing.

  • Additionally, you will need a conforming implementation of the C++11 standard library and ABI---currently libc++ and libc++abi are the best options for this if you are using clang. These are installed by default on OS X, but may need to be installed as separate packages on other systems (e.g., Arch). See your distribution's package manager for more information on installing these dependencies.

    If you are using GCC >= 4.8, its packaged standard library and ABI is sufficient.

  • Windows users: YMMV. It is not currently supported, but things may work. You will likely need Visual Studio 2013 for the C++11 features.

  • This project makes use of several git submodules. Instructions on how to use them is included in the code snippet below.

  • Make sure you compile liblinear and libsvm (located in deps/libsvm-modules) if you want to use them. It is not necessary to compile or modify any other submodules.

  • To get started, run the following commands in the root of the project:

# checkout the project
git clone https://github.com/meta-toolkit/meta.git
cd meta/

# set up submodules
git submodule init
git submodule update

mkdir build
cd build/

# to use clang
CXX=clang++ cmake ../ -DCMAKE_BUILD_TYPE=Release
# OR
# to use gcc
CXX=g++ cmake ../ -DCMAKE_BUILD_TYPE=Release

make
  • There are rules for clean, tidy, and doc. After you run the cmake command once, you will be able to just run make as usual when you're developing---it'll detect when the CMakeLists.txt file has changed and rebuild Makefiles if it needs to.

  • To compile in debug mode, just replace Release with Debug.

meta's People

Contributors

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Watchers

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