LOIT - Lot Of Indic Tweets
Installation
pip install loit
Usage
import loit
# download data
# hindi and telugu are available as of now
loit.download('hindi', 'data')
# download fasttext cbow vectors and read them
loit.load_vectors('hindi', 'cbow')
# download fasttext skipgram vectors and read them
loit.load_vectors('hindi', 'skipgram')
# read the jsons from data
#returns iterator that yields jsons
it = loit.read_data('telugu')
for tweet_json in it:
print(tweet_json['tweet'])
input()
ToDO
- Train a DeepMoji type of model on this data.
1 maintainer
Metadata
1 maintainer
Release files for loit 0.0.2.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| loit-0.0.2.1.tar.gz | 3.4 kB | Without provenance | Details for loit-0.0.2.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| loit-0.0.2.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for loit-0.0.2.1-py2.py3-none-any.whl |
Total release size: 18.3 kB
Release files / loit-0.0.2.1.tar.gz
| Download URL | loit-0.0.2.1.tar.gz |
|---|---|
| Size | 3.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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|
Release files / loit-0.0.2.1-py2.py3-none-any.whl
| Download URL | loit-0.0.2.1-py2.py3-none-any.whl |
|---|---|
| Size | 14.9 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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Security for loit 0.0.2.1
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