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https://github.com/ashot72/spfx-universal-sentence-encoder
Amazon Reviews Sentiment Classifications and Textual Similarities with Universal Sentence Encoder.
https://github.com/ashot72/spfx-universal-sentence-encoder
amazon-ratings amazon-reviews embedding-matrix embeddings sentence-embeddings sentiment-analysis sentiment-classification sharepoint spfx spfx-extension spfx-webpart tensorflow tensorflow-js textual-similarity universal-sentence-encoder word-embeddings
Last synced: about 4 hours ago
JSON representation
Amazon Reviews Sentiment Classifications and Textual Similarities with Universal Sentence Encoder.
- Host: GitHub
- URL: https://github.com/ashot72/spfx-universal-sentence-encoder
- Owner: Ashot72
- Created: 2020-05-05T17:26:46.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2022-02-13T10:18:33.000Z (over 2 years ago)
- Last Synced: 2023-03-06T12:28:22.922Z (over 1 year ago)
- Topics: amazon-ratings, amazon-reviews, embedding-matrix, embeddings, sentence-embeddings, sentiment-analysis, sentiment-classification, sharepoint, spfx, spfx-extension, spfx-webpart, tensorflow, tensorflow-js, textual-similarity, universal-sentence-encoder, word-embeddings
- Language: TypeScript
- Homepage:
- Size: 1.67 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
This is an Amazon Reviews Sentiment Classifications and Textual Similarities SharePoint SPFx extension built on Tensorflow.js [Universal Sentence Encoder](https://github.com/tensorflow/tfjs-models/tree/master/universal-sentence-encoder) model.
To get started.
```
Clone the repositorygit https://github.com/Ashot72/spfx-universal-sentence-encoder
cd spfx-universal-sentence-encoder# installs dependencies
npm install# creates release package which should be deployed in SharePoint app catalog
npm run deploy-prod```
Go to [Amazon Reviews (SPFx) Video](https://youtu.be/6e3TPawyhRQ) page
Go to [Amazon Reviews (SPFx) description](https://ashot72.github.io/spfx-universal-sentence-encoder/) page