fumigate 0.1.8

Fumigate text

Fumigate

A small demo library to help in NLP's most tedious task, text cleaning.

Installation pip install fumigate

#Get started

How to fumigate(clean) your text data

1.  from fumigate import Fumes

2. Instantiate a Fumes object
    fumes = Fumes()

3. Call the purge method to clean everything.
    result = fumes.purge(<text>)

4. Call the clean method to clean specific things from the methods available.

    ## methods is a list containing one or multiple methods available for fumigation.
    result = fumes.clean(<text>, methods=["url" | "sym" | "num" | "emo"], extract=False)

    # if extract=True returns tuple with removed characters/strings
    result, garbage = fumes.clean(<text>, methods=["url" | "sym" | "num" | "emo"], extract=True)

5. Call the stem method for stemming.
    result = fumes.stem(<text>)

6. Call the lemm method for lemmatizing.
    result = fumes.lemm(<text>)