https://github.com/jasmine1601/sentiment-analysis-using-svm

Sentiment analysis of customer reviews for various Amazon Alexa products.
https://github.com/jasmine1601/sentiment-analysis-using-svm

nlp-machine-learning sentiment-analysis support-vector-machine

Last synced: about 1 year ago
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Sentiment analysis of customer reviews for various Amazon Alexa products.

• Host: GitHub
• URL: https://github.com/jasmine1601/sentiment-analysis-using-svm
• Owner: jasmine1601
• Created: 2021-04-14T21:15:24.000Z (about 5 years ago)
• Default Branch: main
• Last Pushed: 2024-09-22T12:35:09.000Z (almost 2 years ago)
• Last Synced: 2025-03-31T18:51:17.920Z (about 1 year ago)
• Topics: nlp-machine-learning, sentiment-analysis, support-vector-machine
• Language: Jupyter Notebook
• Homepage: https://jasmine1601-sentiment-analysis-using-svm-app-apk8mh.streamlit.app/
• Size: 647 KB
• Stars: 6
• Watchers: 1
• Forks: 5
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Contributing: .github/contributing.md

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README

          
# Sentiment Analysis of Amazon Reviews

* **Aim** : To perform sentiment analysis of customer reviews for various Amazon Alexa products.

* **Dataset** : Amazon Alexa Reviews (from Kaggle)

* **Algorithm used:** Support Vector Machine (SVM)

* **Model accuracy:** 89.84%




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## Deployment

My app is [deployed](https://docs.streamlit.io/streamlit-cloud/get-started/deploy-an-app) on [Streamlit Cloud](https://streamlit.io/cloud).

## Contributing

This repository is contribution friendly. Refer to [Contribution Guidelines](.github/contributing.md).

## Contact

[![Join the chat at https://gitter.im/Sentiment-Analysis-using-SVM-Jasmine/community](https://badges.gitter.im/Sentiment-Analysis-using-SVM-Jasmine/community.svg)](https://gitter.im/Sentiment-Analysis-using-SVM-Jasmine/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)