Next Meetup

Build your own Sentiment Analysis: deep learning,machine learning,NLP
Want to know what your customers, users, contacts, or relatives really think? Find out by building your own sentiment analysis application with KNIME Analytics Platform. 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. 1. Deep Learning: This group will work with the visual Keras deep learning integration available in KNIME (completely code free). 2. Machine Learning: This group will use other machine learning techniques, based on native KNIME nodes. 3. Lexicon Based: This group will focus on a lexicon based approach for sentiment analysis. What you need for the workshop: Your own laptop preinstalled with KNIME Analytics Platform, which you can download here https://www.knime.com/downloads. For help installing KNIME, check out these tutorials: 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 KNIME Textprocessing extension. Find out how to install KNIME extensions here. https://www.youtube.com/watch?v=8HMx3mjJXiw To get familiar with KNIME Analytics Platform, you can explore the content of our E-learning course https://www.knime.com/knime-introductory-course. If you'd like to work in the deep learning group, please pre-install Python and Keras. Just follow these instructions https://www.knime.com/deeplearning/keras. Agenda 5.00 PM - Arrival and registration 5.20 PM - Introduction to KNIME Analytics Platform with demo 5.40 PM - Introduction to sentiment analysis and hands-on workshop 7.30 PM - Networking The event is free and open to everybody interested. We're looking forward to seeing you!

TRIANZ, Inc.

2350 Mission College Blvd Suite #1250 · Santa Clara, ca

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    What we're about

    This group will concentrate on understanding the tools and skill-sets needed to become an effective Data Scientist. We will explore all topics related to the data lifecycle including acquiring new data sets, parsing new data sets, filtering and organizing data, mining data patterns, advanced algorithms, visually representing data, telling stories with data and softer skills such as negotiations and selling your ideas based upon data.

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