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62 lines
1.6 KiB
62 lines
1.6 KiB
5 years ago
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SentenTree
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==========
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SentenTree is a novel text visualization technique for summarizing a collection of social media text, i.e. take thousands or more Tweets and summarize what the Tweets are about. The aim of this project was to create a visualization that is cheap to compute but represent the connected thoughts in the words.
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![SentenTree example](https://raw.githubusercontent.com/twitter/SentenTree/master/images/SentenTree.png)
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[See DEMO](https://twitter.github.io/SentenTree/)
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## Author
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- Mengdie Hu / [@mengdieh](https://twitter.com/mengdieh)
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- Krist Wongsuphasawat / [@kristw](https://twitter.com/kristw)
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## Publication
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Mengdie Hu, Krist Wongsuphasawat and John Stasko. [Visualizing Social Media Content with SentenTree](http://www.cc.gatech.edu/~stasko/papers/infovis16-sententree.pdf), in IEEE Transactions on Visualization and Computer Graphics 2016.
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## Installation
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```
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npm install sententree
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```
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## Example usage
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```html
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<div id="vis"></div>
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```
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```js
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d3.tsv('data/demo.tsv', (error, data) => {
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// data format is [{ id, text, count }]
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const model = new SentenTreeBuilder()
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.buildModel(data);
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new SentenTreeVis('#vis')
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// change the number to limit number of output
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.data(model.getRenderedGraphs(3))
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.on('nodeClick', node => {
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console.log('node', node);
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});
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});
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```
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## For developers
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Install dependencies via npm or yarn
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```
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$ npm install
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```
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Then run local instance via
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```
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$ npm run start
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```
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## License
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Copyright 2014 Twitter, Inc. Licensed under the [Apache License Version 2.0](http://www.apache.org/licenses/LICENSE-2.0)
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