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Calculate readability scores (Flesch Reading Ease, etc.).

Project description

Textatistic is a Python package to calculate the Flesch Reading Ease, Flesch-Kincaid, Gunning Fog, Simple Measure of Gobbledygook (SMOG) and Dale-Chall readability indices. Textatistic also contains functions to count the number of sentences, characters, syllables, words, words with three or more syllables and words on an expanded Dale-Chall list of easy words.

Installation

$ pip install textatistic

Documentation

Detailed documentation available at erinhengel.com.

Quickstart

>>> from textatistic import Textatistic

# Generate object of readability statistics.
>>> text = 'There was a king with a large jaw. There was a queen with a plain face.'
>>> s = Textatistic(text)

# Return sentence count.
>>> s.sent_count
2

# Return Flesch Reading Ease score.
>>> s.flesch_score
114.11500000000001

# Return dictionary of character/word/syllable counts.
>>> s.counts
...

# Return dictionary of readability scores.
>>> s.scores
...

# Return dictionary of all attribute values.
>>> s.dict()
...

Table of attributes

char_count number of non-space characters.
notdalechall_count number of words not on Dale-Chall list of words understood by 80% of 4th graders.
polysyblword_count number of words with three or more syllables.
sent_count number of sentences.
sybl_count number of syllables.
word_count number of words.
dalechall_score Dale-Chall score.
flesch_score Flesch Reading Ease score.
fleschkincaid_score Flesch-Kincaid score.
gunningfog_score Gunning Fog score.
smog_score SMOG score.

Project details


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0.0.1

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Filename, size & hash SHA256 hash help File type Python version Upload date
textatistic-0.0.1.tar.gz (29.9 kB) Copy SHA256 hash SHA256 Source None Oct 25, 2015

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