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GitHub / jesuzsh / covid-topic-modeling
Using the COVID-19-TweetIDs dataset, Latent Dirichlet Allocation is used to find the top topics among the tweets.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jesuzsh%2Fcovid-topic-modeling
Stars: 0
Forks: 0
Open Issues: 3
License: None
Language: Python
Repo Size: 10.8 MB
Dependencies:
35
Created: about 4 years ago
Updated: over 2 years ago
Last pushed: over 1 year ago
Last synced: about 1 year ago
Files
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Dependencies
requirements.txt
pypi
- attrs ==19.3.0
- boto ==2.49.0
- boto3 ==1.12.48
- botocore ==1.15.48
- certifi ==2020.4.5.1
- chardet ==3.0.4
- click ==7.1.2
- docutils ==0.15.2
- gensim ==3.8.2
- idna ==2.9
- importlib-metadata ==1.6.0
- jmespath ==0.9.5
- joblib ==0.14.1
- more-itertools ==8.2.0
- nltk ==3.5
- numpy ==1.18.3
- oauthlib ==3.1.0
- packaging ==20.3
- pluggy ==0.13.1
- py >=1.10.0
- pyparsing ==2.4.7
- pytest ==5.4.1
- python-dateutil ==2.8.1
- regex ==2020.4.4
- requests ==2.23.0
- requests-oauthlib ==1.3.0
- s3transfer ==0.3.3
- scipy ==1.4.1
- six ==1.14.0
- smart-open ==2.0.0
- tqdm ==4.45.0
- twarc ==1.8.3
- urllib3 >=1.26.5
- wcwidth ==0.1.9
- zipp ==3.1.0