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Davisy/Swahili-Tweet-Sentiment-Analysis-App

Domain:

natural language processing

Record type:

software
Creator:
Dav
Host:
A simple app to analyze the sentiment of Swahili tweets. # Swahili Tweet Sentiment Analysis App A simple app to analyze the sentiment of Swahili tweets. ## Installation Install all streamlit requirements by run the following command > pip install requirements.txt ## Run Streamlit To access and use the application,donwoload or clone the repository and then run the command below. > streamlit run app.py Finally browse the link provided in your browser. ## Streamlit Cloud The application has been deployed in the Streamlit Cloud.You can access here: share.streamlit.io ## Issues Incase you have any difficulties or issues while trying to run the script you can raise it on the issues section. ## Pull Requests If you have something to add or new idea to implement, you are welcome to create a pull requests on improvement. ## Give it a Star ⭐️ If you find this repo useful , give it a star so as many people can get to know it. ## Credits All the credits to Davis David

Visit

github.com

Tasks

sentiment analysistext classification

Languages

Swahili

Tags

natural-language-processingnlpscikit-learnsentiment-analysisstreamlitstreamlit-webappswahilitweets

Licenses

MIT