Intent Analysis

This classifier tells whether the underlying intention behind a sentence is opinion, news, marketing, complaint, suggestion, appreciation, and query. This is trained on our proprietary dataset.
Our intent API is widely used to build customer service chatbots in banking, finance and airline industry.

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Intent Analysis



Intent Analysis



Intent Analysis



Intent Analysis



Intent Analysis



You might also be interested in these APIs: Sentiment Analysis, Emotion Analysis, Named Entity Recognition

Why our Intent Analysis API ?


Provide confidence score for each kind of intent, enable the most precise intent recognition applications.


Multiple kinds of intent, including feedback, suggestion, complaint and even spam to build powerful text classification in customer service application. Still more to explore.

Bot/Spam Detection

Can be used to detect bots and fake accounts on twitter in combination with semantic similarity API. More details here..

How Our Intent Analysis API Works?

Intent Analysis goes a level deeper than sentiment analysis and gives an idea of whether a string of text is a complaint, a suggestion or a query.Gauging the intent of messages on social media opens a lot of new possibilities.

It uses Long Short Term Memory (LSTM) algorithms to classify a text into different. LSTMs model sentences as chain of forget-remember decisions based on context. It is trained on social media data and news data differently for handling casual and formal language. We also have trained this algorithm for various custom datasets for different clients.

use cases

Customer service prioritisation

One of the most practical applications of intent analysis is the management of customer services. If the intention behind the posts, comments, reviews etc made by existing customers is spotted and managed, resolving the issue becomes a lot easier. Marketers can prioritize complaints from the customers and respond to complaints that require immediate resolution.

Spam Detection

Intent API can help companies in filtering spam and marketing content from their media monitoring feeds, allowing them to identify genuine feedback from real users on social media platforms. The API can detect whether the user’s content is a query or a complaint and take appropriate action.

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Custom Solutions

Want to train your own custom model? Contact Sales to get started

Contact Sales