2023 Team Software Project
A Twitter Sentiment Analysis website!
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About The Project
A web-accessible application, that allows users to query a tweet. The query will calculate a sentiment analysis for the data from our trained ML model and display it in an appropriate format. The sentiment analysis will be a score from 1-5 determining the emotion of the tweet. Extensions for the project could be:
- Allowing user input on the sentiment to further train our ML model and comparing it to third-party ML models.
- Adding the ability to analyse Twitter’s ‘Timelines’, trending Hashtags, individual users and comment threads.
- Performance optimization, testing for latency and improvements.
- Caching data/session handling with cookies
- Allowing for personal profile analysis
Built With
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Getting Started
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Installation
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Usage
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For more examples, please refer to the Documentation
License
Distributed under the MIT License. See LICENSE.txt for more information.
Contact
Zak - 26577836 Max - 26584263 Jackson - 26580601 Hubert - 26505141 Alfie - 26584784 Dan - 26569011
Project Link: Here