Elegant tweet preprocessing
Project description
Preprocessor
Preprocessor is a preprocessing library for tweet data written in Python.
When building Machine Learning systems based on tweet data, a preprocessing is required. This library makes it easy to clean, parse or tokenize the tweets.
Features
Currently supports cleaning, tokenizing and parsing:
URLs
Hashtags
Mentions
Reserved words (RT, FAV)
Emojis
Smileys
Supports Python 2.7 and 3.3+
Usage
Basic cleaning:
>>> import preprocessor as p
>>> p.clean('Preprocessor is #awesome 👍 https://github.com/s/preprocessor')
'Preprocessor is'Tokenizing:
>>> p.tokenize('Preprocessor is #awesome 👍 https://github.com/s/preprocessor')
'Preprocessor is $HASHTAG$ $EMOJI$ $URL$'Parsing:
>>> parsed_tweet = p.parse('Preprocessor is #awesome https://github.com/s/preprocessor')
<preprocessor.parse.ParseResult instance at 0x10f430758>
>>> parsed_tweet.urls
[(25:58) => https://github.com/s/preprocessor]
>>> parsed_tweet.urls[0].start_index
25
>>> parsed_tweet.urls[0].match
'https://github.com/s/preprocessor'
>>> parsed_tweet.urls[0].end_index
58Fully customizable:
>>> p.set_options(p.OPT.URL, p.OPT.EMOJI)
>>> p.clean('Preprocessor is #awesome 👍 https://github.com/s/preprocessor')
'Preprocessor is #awesome'Installation
using pip:
$ pip install tweet-preprocessor
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