Skip to main content

Lot Of Indic Tweets

Project description

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

  1. Train a DeepMoji type of model on this data.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

loit-0.0.2.1.tar.gz (3.4 kB view details)

Uploaded Source

Built Distribution

loit-0.0.2.1-py2.py3-none-any.whl (14.9 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file loit-0.0.2.1.tar.gz.

File metadata

  • Download URL: loit-0.0.2.1.tar.gz
  • Upload date:
  • Size: 3.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.6.0

File hashes

Hashes for loit-0.0.2.1.tar.gz
Algorithm Hash digest
SHA256 70b53da7612e8964aa30009999df36ec9f157db8e19d6ba8f9de322d15b26d27
MD5 fcd73dba2b579fde972c4d9547a874c3
BLAKE2b-256 a7fe68288effe61574449305d52a8a88e4b5b3e98e82b404e77a53f82a17c742

See more details on using hashes here.

File details

Details for the file loit-0.0.2.1-py2.py3-none-any.whl.

File metadata

  • Download URL: loit-0.0.2.1-py2.py3-none-any.whl
  • Upload date:
  • Size: 14.9 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.6.0

File hashes

Hashes for loit-0.0.2.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 2a40c8e89550b610ebe97c94b2df721a8519c8a5d7e899485ed00ccd9b3437b5
MD5 a03840250e099495ade7b1011284d0d6
BLAKE2b-256 a73797b815477ef7a2747d29d1c1bdde86c84705d3843832e49de8079f802596

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page