Metadata-Version: 2.1
Name: twitsent
Version: 1.0.7
Summary: A package for tracking historical sentiment data from Twitter over certain keywords
Project-URL: Homepage, https://github.com/pypa/twitsent
Project-URL: Bug Tracker, https://github.com/pypa/twitsent/issues
Author-email: Mitchell Hoikka <mitchell.hoikka1@gmail.com>
License: Copyright (c) 2018 The Python Packaging Authority
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Requires-Dist: clean-text>=0.6.0
Requires-Dist: matplotlib>=3.5.2
Requires-Dist: nltk>=3.5
Requires-Dist: pymannkendall>=1.4.2
Requires-Dist: requests>=2.27.1
Requires-Dist: tkcalendar>=1.6.1
Requires-Dist: unidecode>=1.3.4
Description-Content-Type: text/markdown


# Twitter Sentiment Tracker
# Summer 2022 ACO 499

Tracks Twitter sentiment over time using Tweets that contain certain keywords and meet certain conditions. The data retrieved from Twitter can then be stored for later use, and an HTML file will open at the end of execution that describes the process and methodologies of data collection. Twitter's rate limits should be well understood BEFORE this package is run, as the Search API has hard restritions on how many Tweets can be retrieved per month, 15 min, and second depending on user's access level and the search type. In general, using default parameters in this package and not re-searching over the same date range will not cause the user to exceed these limits. You must have a Twitter Search API v2 bearer token to use this software.   
**To Install:**    
Enter into a command line terminal   
> pip install twitsent  
> 
**To Execute:**    
Also in the terminal, type  
> python -m twitsent  
> 
**OR**    
> python3 -m twitsent
> 

## Authors

- [Mitchell Hoikka](https://www.github.com/mhoikka)
