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.
Mengdie Hu, Krist Wongsuphasawat and John Stasko. Visualizing Social Media Content with SentenTree, in IEEE Transactions on Visualization and Computer Graphics 2016.
npm install sententree
<div id="vis"></div>d3.tsv('data/demo.tsv', (error, data) => {
// data format is [{ id, text, count }]
const model = new SentenTreeBuilder()
.buildModel(data);
new SentenTreeVis('#vis')
// change the number to limit number of output
.data(model.getRenderedGraphs(3))
.on('nodeClick', node => {
console.log('node', node);
});
});Install dependencies via npm or yarn
$ npm install
Then run local instance via
$ npm run start
Copyright 2014 Twitter, Inc. Licensed under the Apache License Version 2.0