NLPPREPROCESS

NLPPREPROCESS is a preprocessing package for NLP task. The main objective of the package is to reduce time consumed for preprocessing by using ready made functions.

Requirements

• Python 3.4 or higher

Installation

Using PIP via PyPI

$ pip install nlppreprocess

Manually via GIT

$ git clone git://github.com/gaganmanku96/nlppreprocess
$ cd nlppreprocess
$ python setup.py install

Functionalities

1. Replaces words
2. Remove stopwords
3. Remove numbers
4. Remove HTML tags
5. Remove punctations
6. Lemmatize words either by Wordnet or Snowball

Usage

>>> from nlpuitls import NLP
>>> obj = NLP()

Parameters

>>> obj = NLP(
       replace_words=True,
       remove_stopwords=True,
       remove_numbers=True,
       remove_HTML_tags=True,
       remove_punctation=True,
       lemmatize=False,
       lemmatize_method='wordnet'
      )

Using with Pandas Library

>>> dataFrame['text'] = dataFrame['text].apply(obj.process)

Using with plain textx

>>> print(obj.process("Pass a text here"))

Add more stopwords

>>> obj = NLP()
>>> obj.add_stopword(['this', 'and this'])

Add more replace words

>>> obj = NLP()
>>> obj.add_replacement([this="by this", this="by this"])