KNIME Sentiment analysis with deep learning, machine learning or lexicon based? You choose!

Abstract: Do you want to know what your customers, users, contacts, or relatives really think? Find out by building your own sentiment analysis application.

In this workshop you will build a sentiment analysis application, step by step, using KNIME Analytics Platform. After an introduction to the most common techniques used for sentiment analysis and text mining we will work in three groups, each one focusing on a different technique.

Deep Learning. This group will work with the visual Keras deep learning integration available in KNIME (completely code free)
Machine Learning. This group will use other machine learning techniques, based on native KNIME nodes
Lexicon Based. This group will focus on a lexicon based approach for sentiment analysis

Workshop Requirements:

Your own laptop preinstalled with KNIME Analytics Platform, which you can download from the KNIME website
KNIME Textprocessing extension. See video link, below about installing KNIME extensions. https://www.youtube.com/watch?v=8HMx3mjJXiw

Help Installing KNIME Analytics Platform:

Here are some links to YouTube videos to help you install KNIME Analytics Platform:
Windows https://www.youtube.com/watch?v=yeHblDxakLk&feature=youtu.be
Mac https://www.youtube.com/watch?v=1jvRWryJ220&feature=youtu.be
Linux https://www.youtube.com/watch?v=wibggQYr4ZA&feature=youtu.be

Bio: Kathrin Melcher is a Data Scientist at KNIME. She holds a Master Degree in Mathematics obtained at the University of Konstanz, Germany. She joined the Evangelism team at KNIME in 2017. She has a strong interest in data science, machine learning and algorithms, and enjoys teaching and sharing her knowledge about it.

Open Data Science Conference