• So many Algorithms and Theory • How to set parameters? • Which library? Who trains (and continue training) the model? • Should I focus on the library and its usage or my application?
Transcribe is an automatic speech recognition service. Analyze audio files stored in Amazon S3 and have the service return a text file of the transcribed speech” 4th of April: Amazon Transcribe Now Generally Available
Comprehend is a NLP service to find insights and relationships in text. It identifies the language of the text; extracts key phrases, entities; sentiment; and organizes a collection of files by topic”
(e.g. customer service calls) into written text and extract useful information for quick understanding of content, index information in Elasticsearch 6.2.3 for fast search and visualize the data with Kibana 6.2.3
How many positive recordings do I have? • How many customers are complaining (negative feedback) about my products? • Which is the sentiment about my products? • Which entities/key phrases are the most common in my recordings? Nobody wants logs everyone wants answers Elasticsearch and doubling down on “open”: https://changelog.com/podcast/292