Do you have trouble with gathering the data for natural language processing?
For example, exploring the kinds of data, finding where to download, handling huge size and parsing its data (and more!).
chazutsu helps you to fighting above problems.
photo from Kaikado, traditional Japanese chazutsu maker
pip install chazutsu
chazutsu supports you from data download to making file that can be read by pandas etc.
You can download the datasets by chazutsu like following.
>>>import chazutsu
>>>chazutsu.datasets.MovieReview.polarity().show()
About Moview Review Data
movie review data that is annotated by 3 kinds of label (polarity, subjective rating, subjectivity).
see also: http://www.cs.cornell.edu/people/pabo/movie-review-data/
>>>r = chazutsu.datasets.MovieReview.polarity().download()
Make directory for downloading the file to /your/current/directory
Begin downloading the Moview Review Data dataset from http://www.cs.cornell.edu/people/pabo/movie-review-data/review_polarity.tar.gz.
The dataset file is saved to /your/current/directory/data/moview_review_data/review_polarity.tar.gz
...
Done all process! Make below files at /your/current/directory/data/moview_review_data
review_polarity_test.txt
review_polarity_train.txtNot only the downloading the file, expand & format it. So the prepared files are ready to use!
>>>r.train_data().head(5)
polarity review
0 0 plot : a little boy born in east germany ( nam...
1 0 when i arrived in paris in june , 1992 , i was...
2 0 idle hands is distasteful , crass and deriva...
3 0 phaedra cinema , the distributor of such never...
4 0 one-sided " doom and gloom " documentary about...
>>> target, data = r.train_data(split_target=True)
>>> target.head(3)
0 0
1 0
2 0
Name: polarity, dtype: int64
>>> data.head(3)
review
0 plot : a little boy born in east germany ( nam...
1 when i arrived in paris in june , 1992 , i was...
2 idle hands is distasteful , crass and deriva...
download returns pandas-ready object!
You can split the data for training and test.
>>>import chazutsu
>>>chazutsu.datasets.MovieReview.polarity().download(test_size=0.3)
...
File is splited to review_polarity_train.txt & review_polarity_test.txt. Each records are 1400 & 600 (test_size=30.00%).
...You don't want to load the all dataset to watch the some lines of data!
If you direct the sample_count, you can get the file that is sampled from dataset.
>>>import chazutsu
>>>chazutsu.datasets.MovieReview.polarity().download(sample_count=100)
...
Make review_polarity_samples.txt by picking 100 records from original file.
...
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