textarium: easy-to-use Python package for text analysis.

What is it?

textarium is a Python package that provides flexible text analysis functions designed to make text analysis intuitive and easy. It aims to be the high-level tool for preparing text-data and complex analysis or NLP modeling.

Installation

Binary installer for the latest released version are available at the Python Package Index (PyPI).

# Type this in your command-line
pip install textarium

Getting started

from textarium import Text
import nltk
nltk.download('wordnet')

s = "This a text example. You can preprocess and analyze it with this package."
text = Text(s, lang='en')
text.prepare()

print(text.prepared_text)

from textarium import Corpus
import nltk
nltk.download('wordnet')

txts = [
    "Hello! My name is Mr.Parker.",
    "I have a website https://parker.com.",
    "It has about 5000 visitors per day.",
    "I track it with a simple html-block like this:",
    "<div>Google.Analytics</div>",
]
c = Corpus(txts, lang='en')
c.info()

c = c.filter(condition=lambda x: len(x.split() > 5), attribute="raw_text")
c.info()

c.prepare()

print(c)

Documentation

The official documentation is hosted on Github.io: https://6b656b.github.io/textarium

License

MIT