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Sentiment Analysis\n[![Made with Jupyter](https://img.shields.io/badge/Made%20with-Jupyter-orange?logo=Jupyter)](https://jupyter.org/try)  [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/ahmedshahriar/Sentiment-Analysis/main) [![Open in Visual Studio Code](https://open.vscode.dev/badges/open-in-vscode.svg)](https://github.dev/ahmedshahriar/Sentiment-Analysis)\n\n## SA-with-Universal-Sentence-Encoder\n* Performed sentiment analysis (positive and negative) using [Tensorflow HUB text embedding model](https://tfhub.dev/google/universal-sentence-encoder-multilingual-large/3)\\\n[![nbviewer](https://raw.githubusercontent.com/jupyter/design/master/logos/Badges/nbviewer_badge.svg)](https://nbviewer.org/github/ahmedshahriar/Sentiment-Analysis/blob/main/SA-with-Universal-Sentence-Encoder/SA-Hotel-Reviews.ipynb) [![Open in HTML](https://img.shields.io/badge/Html-Open%20Notebook-blue?logo=HTML5)](https://nbviewer.org/github/ahmedshahriar/Sentiment-Analysis/blob/main/SA-with-Universal-Sentence-Encoder/SA-Hotel-Reviews.html)\n\n### Acknowledgment\n\n[![](https://img.shields.io/badge/Social%20Preview-%20brown%20eggs%20on%20white%20tray%20by%20Tengyart-lightgrey?style=flat-square\u0026logo=Unsplash)](https://unsplash.com/photos/uh6msP8Md_E)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fahmedshahriar%2Fsentiment-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fahmedshahriar%2Fsentiment-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fahmedshahriar%2Fsentiment-analysis/lists"}