6 Ways to Utilize Machine Learning with Amazon Web Services and Talend

The world has become a global village and interactions between people from different parts of the world are increasing day-by-day. Language was one of the major roadblocks in enabling free communication between people all over the world. The natural language processing services of Amazon like Amazon Comprehend and Amazon Translate help us to understand the dominant language any given text text, translate it and perform the sentiment analysis for the incoming textual information. Talend integrates these Amazon AI services to convert end to end applications like real-time sentimental analysis dashboard and multilingual customer care system. A quick example is the sentimental analysis dashboard as shown below. Talend is integrated with Amazon's Comprehend service to identify the customer sentiments in real time and to send the sentimental analysis details to downstream system dashboards. Another example which showcases Talend's integration capabilities with Amazon Comprehend and Amazon Translate services is the creation of a multi-lingual customer care system. The incoming messages are analyzed to understand the dominant language used in it and the text is translated from non-supported languages to supported language automatically. The two Talend KB articles I would recommend getting a detailed overview and hands-on experience about Talend's integration with above two Amazon services are as shown below.