A package for tracking historical sentiment data from Twitter over certain keywords
Project description
Twitter Sentiment Tracker
Summer 2022 ACO 499
Tracks sentiment over time with certain keywords
Authors
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
twitsent-0.0.3.tar.gz
(120.8 kB
view details)
Built Distribution
twitsent-0.0.3-py3-none-any.whl
(19.7 kB
view details)
File details
Details for the file twitsent-0.0.3.tar.gz
.
File metadata
- Download URL: twitsent-0.0.3.tar.gz
- Upload date:
- Size: 120.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f6aa467e03ed7d6c39e1905b825d23aa5a49d28b5cb462c4cc2981eaa27c7d5e |
|
MD5 | e3fa41d4beb7022b22505d333f28894c |
|
BLAKE2b-256 | 671d52230c62b49c1702d39e2c703a609c7b22bdf7ba6b7a53b13029228a868c |
File details
Details for the file twitsent-0.0.3-py3-none-any.whl
.
File metadata
- Download URL: twitsent-0.0.3-py3-none-any.whl
- Upload date:
- Size: 19.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b828fea80595b6bbc41e26c610a3160f992dd6b37ecc45a2d599f9f74ba45ef6 |
|
MD5 | d5e6050a4f191c619098b99aea44f312 |
|
BLAKE2b-256 | 9767767c9c0e0a544dc8148f7b68bf4778303d3dd182383cbffb4fe7b2287280 |