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index.js
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index.js
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/* eslint-disable no-unused-expressions */
import { BayesClassifier } from 'natural'
import { NlpManager, NluManager } from 'node-nlp'
import logger from 'hoopa-logger'
import baseKnowledge from '../../brain/knowledge'
const LanguageProcessor = new NlpManager({ languages: 'en' })
const UnderstandingProcessor = new NluManager({ languages: 'en' })
const NLP = {
Bayes: new BayesClassifier(),
LanguageProcessor,
UnderstandingProcessor,
trainModel: (newKnowledge = null, bayes, manager) => {
logger.info('Cognitive analysis (NLP & NLU), basic training...')
const trainingContext = baseKnowledge.natural
if (newKnowledge) {
newKnowledge.map(token => trainingContext.push(token))
}
trainingContext.map(token => {
UnderstandingProcessor.addDocument('en', token.input, token.class)
manager.addDocument('en', token.input, token.class)
if (token.answer) {
manager.addAnswer('en', token.class, token.answer)
}
return bayes.addDocument(token.input, token.class)
})
logger.info('Natural and understanding processors training finished!')
},
classify: (sentence, Bayes) => {
const classification = Bayes.classify(sentence)
if (!classification) return "Sorry, but I don't understand what you've said."
logger.info(`Sentence ${sentence} classified: --kind ${classification}`)
return classification
}
}
export default NLP