Vincenzo Tursi
Data Scientist
KNIME
location_on Germany
Member since 4 years
Share
Vincenzo Tursi
Specialises In (based on submitted proposals)
Vincenzo Tursi has been working as Data Scientist at KNIME since May 2016. During this time he worked on text processing, network graph analysis and 360-degree customer data analysis. Before joining KNIME, Vincenzo worked as Business Consultant for Capgemini S.p.A and Business Integration Partners S.p.A. in Italy. He then moved to Germany to work shortly as a Research Associate at Saarland University first and to KNIME later.
-
keyboard_arrow_down
Puzzling Together a Teacher-Bot: Machine Learning, NLP, Active Learning, and Microservices
45 Mins
Demonstration
Beginner
Hi! My name is Emil and I am a Teacher Bot. I was built to answer your initial questions about using KNIME Analytics Platform. Well, actually, I was built to point you to the right training materials to answer your questions about KNIME.
Puzzling together all the pieces to implement me wasn't that difficult. All you need are:
- A user interface - web or speech based - for you to ask questions
- A text parser for me to understand
- A brain to find the right training materials to answer your question
- A user interface to send you the answer
- A feedback option - nice to have but not a must - on whether my answer was of any help
The most complex part was, of course, my brain. Building my brain required: a clear definition of the problem, a labeled data set, a class ontology, and finally the training of a machine learning model. The labeled data set in particular was lacking. So, we relied on active learning to incrementally make my brain smarter over time. Some parts of the final architecture, such as understanding and resource searching, were deployed as microservices.
-
keyboard_arrow_downDeep Dive into Data Science with KNIME Analytics Platform
480 Mins
Workshop
Beginner
In this course we cover the major steps in a data science project, from data access, data pre-processing, and data visualization to machine learning, model optimization, and deployment using the KNIME Analytics Platform.
-
-
keyboard_arrow_down
Sentiment Analysis with Deep Learning, Machine Learning or Lexicon Based
90 Mins
Workshop
Beginner
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
-
No more submissions exist.
