corenlp-sentiment
v1.0.1
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Extension of npm package corenlp. Modified to include sentiment.
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corenlp-sentiment
Extension of npm package corenlp. Modified to include sentiment.
See original for full explanation of usage.
Usage:
This:
var CoreNLP = require('corenlp-sentiment')
const props = new CoreNLP.Properties({ annotators: 'sentiment' })
const pipeline = new CoreNLP.Pipeline(props, 'English')
const doc = new CoreNLP.default.simple.Document("This is a sentence.")
pipeline.annotate(doc)
.then(doc => {
console.log(doc.sentence(0).sentimentTree())
console.log(doc.sentence(0).sentiment())
})
.catch(err => {
console.log('err', err)
})
Gives this:
(ROOT|sentiment=2|prob=0.873 (NP|sentiment=2|prob=0.998 This)
(@S|sentiment=2|prob=0.899
(VP|sentiment=2|prob=0.982 (VBZ|sentiment=2|prob=0.989 is)
(NP|sentiment=2|prob=0.993 (DT|sentiment=2|prob=0.990 a) (NN|sentiment=2|prob=0.976 sentence)))
(.|sentiment=2|prob=0.997 .)))
And this:
Neutral
Note:
The sentiment tree does not usually match the parse tree structure. It has been bifurcated, in that it has been forced into binary tree format. This is accomplished by adding extra nodes and collapsing some unary nodes.
I have created an NPM package to force it back to its original form, but it is not fully complete: collapsed unary nodes will still be missing, and the sentiment data pushed around by the unfurcation is messy.