Session

NLP on AWS: SageMaker and high-level services

NLP (natural language processing) nowadays is a very popular component of machine learning. AWS proposes a huge variety of tools to solve various NLP tasks.

AWS SageMaker which enables data scientists to quickly and easily train and deploy machine learning models has built-in NLP algorithms. The BlazingText algorithm (text classification) and 2 topic modeling algorithms (LDA and Neural Topic Model) will be covered during the talk.

However, to solve a specific NLP task, it is not always necessary to write any code, AWS offers many high-level services: Amazon Translate can translate many languages, Amazon Transcribe performs speech-to-text tasks, Amazon Polly converts text into speech, and Amazon Lex builds chat-bots. There is also Amazon Textract that performs document text detection and analysis tasks. All the mentioned services can be used in different domains like retail, commerce, education, medicine, etc.
An example project of a voicing chatbot combining Lex, Polly, and Lambda will be provided.

Darya Petrashka

Data Scientist at SLB

Szczytno, Poland

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