How to use the node-nlp.ConversationContext function in node-nlp
To help you get started, we’ve selected a few node-nlp examples, based on popular ways it is used in public projects.
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brian-ai / core / src / brain / reactions / queue-channels / conversation.js View on Github 
const conversationHandler = async ({ content }, LanguageProcessor) => {
const context = new ConversationContext()
const { data: sentence } = JSON.parse(content)
logger.info(`Conversation control: received ${content}`)
// Local NLP analysis
logger.info(`NLP Analysis locally for ${content}`)
const localProcessedSentence = await LanguageProcessor.process(
'en',
sentence,
context
)
const { answer, classifications } = localProcessedSentence
const suggestedClassification = extractClassification(classifications)
// Trigger intents
if (suggestedClassification && suggestedClassification !== 'None') {
processIntentType(suggestedClassification, sentence)
if (answer) {node-nlp
Library for NLU (Natural Language Understanding) done in Node.js
