Linguistic Inquiry and Word Count (LIWC) analyzer (proprietary data not included)
Project description
liwc
Linguistic Inquiry and Word Count (LIWC) analyzer.
The LIWC lexicon is proprietary, so it is not included in this repository,
but this Python package requires it.
The lexicon data can be acquired (purchased) from liwc.net.
This package reads from the LIWC2007_English100131.dic
(MD5: 2a8c06ee3748218aa89b975574b4e84d
) file,
which must be available on any system where this package is used.
The LIWC2007 .dic
format looks like this:
%
1 funct
2 pronoun
[...]
%
a 1 10
abdomen* 146 147
about 1 16 17
[...]
Setup
Install from PyPI:
pip install -U liwc
Example
import re
from collections import Counter
def tokenize(text):
# you may want to use a smarter tokenizer
for match in re.finditer(r'\w+', text, re.UNICODE):
yield match.group(0)
import liwc
parse, category_names = liwc.load_token_parser('LIWC2007_English100131.dic')
parse
is a function from a token of text (a string) to a list of matching LIWC categories (a list of strings)category_names
is all LIWC categories in the lexicon (a list of strings)
gettysburg = '''Four score and seven years ago our fathers brought forth on
this continent a new nation, conceived in liberty, and dedicated to the
proposition that all men are created equal. Now we are engaged in a great
civil war, testing whether that nation, or any nation so conceived and so
dedicated, can long endure. We are met on a great battlefield of that war.
We have come to dedicate a portion of that field, as a final resting place
for those who here gave their lives that that nation might live. It is
altogether fitting and proper that we should do this.'''
gettysburg_tokens = tokenize(gettysburg)
# now flatmap over all the categories in all of the tokens using a generator:
gettysburg_counts = Counter(category for token in gettysburg_tokens for category in parse(token))
# and print the results:
print(gettysburg_counts)
License
Copyright (c) 2012-2019 Christopher Brown. MIT Licensed.
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