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Cloudera Cloudera

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Date: September 29, 2020 Time: 9:00am PT | 12:00pm ET

From analyzing customer experiences to receiving product feedback, the ability to quickly and easily analyze sentiment can help steer department and business strategy. Sentiment analysis models use existing text inputs such as social media posts or customer success emails to calculate and predict sentiment (classifying it as positive or negative). In this demo, we will explore how your business can leverage Cloudera Data Platform (CDP) and the latest Applied Machine Learning Prototype for powering your sentiment analysis use cases.

In this live demo, you will learn
  • About sentiment analysis for unlabeled data using linear models in R/sparklyr

  • How to train Deep Neural Networks to perform sentiment analysis on training data then apply that model to new data using Python

  • How you can use Cloudera’s Sentiment Analysis Applied Machine Learning Prototypes to power use cases across your business today

Plus get access to instructions for building and deploying the Applied ML Prototype on Sentiment Analysis.

 

Speakers

Cloud Machine Learning Specialist

Jeff Fletcher

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Jeff is the field specialist for Cloudera Machine Learning and other cloud ML products. He holds a degree in electrical engineering from Witwatersrand University and has been involved in Internet technology for most of his professional life with a strong commercial focus. Before Cloudera, Jeff started his professional journey at Telkom in 1994, working on the initial Internet infrastructure in South Africa, then later founded Antfarm Networking Technologies, South Africa’s first streaming, and webcasting company.

Solutions Consultant

Richa Ranjan

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Richa is an experienced Solutions Consultant with a strong history of working with Cloudera's customers in the Machine Learning and Data Science industries. She is a qualified professional with a Master of Science (MSc) degree in Data Science from the University of Southampton, UK. She has experience in working on Machine Learning and Deep Learning projects, focussed on NLP and similar domains and is skilled in ML/AI, Hadoop, Cloudera Data Platform, Data Analytics and Visualisation.

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