PUT301: Enhanced Customer Insights Using Natural Language Processing

? In this session, we'll discuss how to utilize natural language processing (NLP) to analyze data sources, such as user sentiments, conversational intent, and social media. Machine learning solutions help us bring deeper insights and relationships in texts to reduce the analysis time from weeks to days. We will highlight how quickly a machine learning-based solution can be deployed. We will dive deep into AWS services, such as AWS Lambda, Amazon SageMaker, Amazon Comprehend (Classification), Topic Modeling, and Amazon Transcribe, to rapidly develop a natural language search and analysis application to meet such requirements. We will also demonstrate how to ingest social media Tweets to generate a sentiment score to engage with the customer more effectively. Complete Title: AWS re:Invent 2018: Improving Customer Experience: Enhanced Customer Insights Using Natural Language Processing (PUT301-i)