languageflow

============ LanguageFlow

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Data loaders and abstractions for text and NLP

Requirements

Install dependencies

.. code-block:: bash

$ pip install future, tox
$ pip install python-crfsuite==0.9.5
$ pip install Cython
$ pip install -U fasttext --no-cache-dir --no-deps --force-reinstall
$ pip install xgboost==0.82

Installation

.. code-block:: bash

  $ pip install languageflow

Components

• Transformers: NumberRemover, CountVectorizer, TfidfVectorizer
• Models: SGDClassifier, XGBoostClassifier, KimCNNClassifier, FastTextClassifier, CRF

Data

Download a dataset using download command

.. code-block:: bash

$ languageflow download DATASET

List all dataset

.. code-block:: bash

$ languageflow list

Datasets

The datasets module currently contains:

* Tagged: VLSP2018-NER, VTB-CHUNK*, VLSP2016-NER*, VLSP2013-POS*, VLSP2013-WTK*
* Categorized: AIVIVN2019_SA*, VLSP2018_SA*, UTS2017_BANK, VLSP2016_SA*, VNTC
* Plaintext: VNESES, VNTQ_SMALL, VNTQ_BIG

Caution (*): With closed license dataset, you must provide URL to download

Example

Download UTS2017_BANK dataset

.. code-block:: bash

$ languageflow download UTS2017_BANK

Use UTS2017_BANK dataset

.. code-block:: python

>>> from languageflow.data_fetcher import DataFetcher, NLPData
>>> corpus = DataFetcher.load_corpus(NLPData.UTS2017_BANK_SA)
>>> print(corpus)
CategorizedCorpus: 1780 train + 197 dev + 494 test sentences

======= History

1.1.7 (2018-04-12)

• Automatic deploy with travis and pypi
• Fix dependencies hell

1.1.6 (2017-12-26)

• Add data module to handle data downloading and data preprocessing
• Add many new models: SGDClassifier, XGBoostClassier, FastTextClassifier, CRF
• Add new feature: LanguageBoard
• Automatic continuous integration with travis-ci
• Build docs with readthedocs.org

1.1.5 (2017-12-11)

• Refactor project to integrate with underthesea experiment

0.1.0 (2017-09-18)

• First release on PyPI.