Source: dzone.com
Axway Integration Builder in a Sentiment Analysis Application, Part 1Category: Deployment, Database, Microsoft, Docker, Architecture, artificial-intelligence
Sentiment analysis (also known as opinion mining or emotion AI) refers to the use of natural language processing, text analysis, computational linguistics, and biometrics to identify systematically, extract, quantify and study affective states and subjective information.
We’ll use Integration Builder to extract the text from our data source, make a call to Amazon Comprehend natural language processing (NLP) service, through API Builder, to determine the sentiment and send a notification to the appropriate stakeholder.
In this section, we’ll create an API Builder microservice that will expose the AWS Comprehend sentiment service.
In this section, we’ll create our Integration Builder flow and create a connector for the API Builder microservice.
You should get a notification in MS Teams as follows: In this blog post, we saw how Integration Builder and API Builder can be used together with AWS Comprehend Natural Language Processing service to implement a sentiment analysis application to alert marketing via MS Teams.
We’ll use Integration Builder to extract the text from our data source, make a call to Amazon Comprehend natural language processing (NLP) service, through API Builder, to determine the sentiment and send a notification to the appropriate stakeholder.
In this section, we’ll create an API Builder microservice that will expose the AWS Comprehend sentiment service.
In this section, we’ll create our Integration Builder flow and create a connector for the API Builder microservice.
You should get a notification in MS Teams as follows: In this blog post, we saw how Integration Builder and API Builder can be used together with AWS Comprehend Natural Language Processing service to implement a sentiment analysis application to alert marketing via MS Teams.
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