CODEWITHSUNDEEP
azuremachine-learningnlpazure-language-understandingazure-cognitive-services
Rocco
Rocco

Reputation: 477

Luis or text analytics for conversational data extraction

I'm currently working on a bot that helps a user fill in a form in a conversational way. I'm wondering if I should pick LUIS or azure text analytics for this. Or maybe both? Since I'll need to respond to certain intents but answering a question obviously has no intent. Or can I count answering a question as an intent. Either way I'll have to deal with various types of answers ranging from well ranges to names, dates and sentiments. And to add to this: it'll need to support dutch.

Simple example:

Bot asks:

On a scale of 1 - 10 how do you feel about some subject?

User responds:

Well I would give it a 10

Bot extracts:

feelingScore = 10

More complex example

Bot asks:

How do you feel about some subject?

User responds:

Well I would give it a 10

Bot extracts:

feeling = "10"

User responds:

I honestly didn't feel that good about it.

Bot extracts:

feeling = "not that good" (or possibly a sentiment score)

Upvotes: 1

Views: 146

Answers (1)

Thiago Custodio
Thiago Custodio

Reputation: 18387

Since there's no action based on user's input, I don't see a reason for using LUIS. You can achieve what you want using Text Analytics.

PS: Please notice that even tough users reply with a 10, the sentiment analysis may not be 100%.

Example:

  • "I will give it a 10" -> sentiment score is 95
  • "Well I would give it a 10" -> sentiment score is 85

But at the same time, you can check the NAMED ENTITIES and get the extracted number from it (when provided in the answer)

https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics/

Upvotes: 2

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