Metadata-Version: 1.2
Name: malaya
Version: 1.7
Summary: Natural-Language-Toolkit for bahasa Malaysia, powered by Deep Learning.
Home-page: https://github.com/huseinzol05/Malaya
Author: huseinzol05
Author-email: husein.zol05@gmail.com
License: MIT
Download-URL: https://github.com/huseinzol05/Malaya/archive/master.zip
Description: .. figure:: https://raw.githubusercontent.com/DevconX/Malaya/master/session/towns-of-malaya.jpg
        
        |Downloads| |Downloads GPU| |Latest Version| |Python Version| |MIT| |Build Status| |Documentation Status|
        
        .. |Downloads| image:: https://img.shields.io/pypi/dm/malaya.svg
           :target: https://pypi.python.org/pypi/malaya
        .. |Downloads GPU| image:: https://img.shields.io/pypi/dm/malaya-gpu.svg
           :target: https://pypi.python.org/pypi/malaya-gpu
        .. |Latest Version| image:: https://badge.fury.io/py/malaya.svg
           :target: https://pypi.python.org/pypi/malaya
        .. |MIT| image:: https://img.shields.io/badge/License-MIT-yellow.svg
           :target: https://github.com/huseinzol05/Malaya/blob/master/LICENSE
        .. |Python Version| image:: https://img.shields.io/pypi/pyversions/malaya.svg
           :target: https://pypi.python.org/pypi/malaya
        .. |Build Status| image:: https://travis-ci.org/huseinzol05/Malaya.svg?branch=master
           :target: https://travis-ci.org/huseinzol05/Malaya
        .. |Documentation Status| image:: https://readthedocs.org/projects/malaya/badge/?version=latest
           :target: https://malaya.readthedocs.io/
        
        Natural-Language-Toolkit for bahasa Malaysia, powered by Deep Learning
        Tensorflow.
        
        Documentation
        --------------
        
        Proper documentation is available at https://malaya.readthedocs.io/
        
        Installing from the PyPI
        ----------------------------------
        
        CPU version
        ::
        
            $ pip install malaya
        
        GPU version
        ::
        
            $ pip install malaya-gpu
        
        Only **Python 3.6.x** is supported.
        
        Features
        --------
        
        -  **Emotion Analysis**
        
           From BERT, Fast-Text, Dynamic-Memory Network, Sparse Tensorflow, Attention Neural Network to build deep emotion analysis models.
        -  **Entities Recognition**
        
           Latest state-of-art CRF deep learning models to do Naming Entity Recognition.
        -  **Language Detection**
        
           using Multinomial, SGD, XGB, Fast-text N-grams deep learning to distinguish Malay, English, and Indonesian.
        -  **Normalizer**
        
           using local Malaysia NLP researches to normalize any
           bahasa texts.
        -  **Num2Word**
        
           Convert from numbers to cardinal or ordinal representation.
        -  **Part-of-Speech Recognition**
        
           Latest state-of-art CRF deep learning models to do Naming Entity Recognition.
        -  **Dependency Parsing**
        
           Latest state-of-art CRF deep learning models to do analyzes the grammatical structure of a sentence, establishing relationships between words.
        -  **Sentiment Analysis**
        
           From BERT, Fast-Text, Dynamic-Memory Network, Sparse Tensorflow, Attention Neural Network to build deep sentiment analysis models.
        -  **Spell Correction**
        
           Using local Malaysia NLP researches to auto-correct any bahasa words.
        -  Stemmer
        -  **Subjectivity Analysis**
        
           From BERT, Fast-Text, Dynamic-Memory Network, Sparse Tensorflow, Attention Neural Network to build deep subjectivity analysis models.
        -  **Summarization**
        
           Using skip-thought with attention state-of-art to give precise unsupervised summarization.
        -  **Topic Modelling**
        
           Provide LDA2Vec, LDA, NMF and LSA interface for easy topic modelling with topics visualization.
        -  **Topic and Influencers Analysis**
        
           Using deep and machine learning models to understand topics and Influencers similarity in sentences.
        -  **Toxicity Analysis**
        
           From BERT, Fast-Text, Dynamic-Memory Network, Attention Neural Network to build deep toxicity analysis models.
        -  **Word2Vec**
        
           Provide pretrained bahasa wikipedia and bahasa news Word2Vec, with easy interface and visualization.
        -  **Fast-text**
        
           Provide pretrained bahasa wikipedia Fast-text, with easy interface and visualization.
        
        License
        --------
        
        .. |License| image:: https://app.fossa.io/api/projects/git%2Bgithub.com%2Fhuseinzol05%2FMalaya.svg?type=large
           :target: https://app.fossa.io/projects/git%2Bgithub.com%2Fhuseinzol05%2FMalaya?ref=badge_large
        
        |License|
        
Keywords: nlp,bm
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Text Processing
Requires-Python: ==3.6.*
