Santhanam, Sivasurya (2020) Tutorial: Natural language processing with Python. 6th Wissensaustauschworkshop on Machine learning, 2020-10-27 - 2020-10-29, Online.
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Abstract
The Tutorial will give you a basic introduction to Natural Language Processing. Discussed topics are: pre-processing the text, different representations as vectorization of words, training a ML model on text data. The hands-on tutorial will be run in Python.
Item URL in elib: | https://elib.dlr.de/139596/ | ||||||||
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Document Type: | Conference or Workshop Item (Lecture) | ||||||||
Additional Information: | The tutorial slides and content are currently maintained at https://gitlab.dlr.de/sc/ivs-open/waw-ml6-nlptutorial | ||||||||
Title: | Tutorial: Natural language processing with Python | ||||||||
Authors: |
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Date: | 27 October 2020 | ||||||||
Refereed publication: | No | ||||||||
Open Access: | Yes | ||||||||
Gold Open Access: | No | ||||||||
In SCOPUS: | No | ||||||||
In ISI Web of Science: | No | ||||||||
Status: | Published | ||||||||
Keywords: | Natural language processing, Tutorial, Machine learning | ||||||||
Event Title: | 6th Wissensaustauschworkshop on Machine learning | ||||||||
Event Location: | Online | ||||||||
Event Type: | Workshop | ||||||||
Event Start Date: | 27 October 2020 | ||||||||
Event End Date: | 29 October 2020 | ||||||||
Organizer: | Department of Data science, German Aerospace Center, Jena, Germany. | ||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||
HGF - Program: | Space | ||||||||
HGF - Program Themes: | Space System Technology | ||||||||
DLR - Research area: | Raumfahrt | ||||||||
DLR - Program: | R SY - Space System Technology | ||||||||
DLR - Research theme (Project): | R - Vorhaben SISTEC (old) | ||||||||
Location: | Köln-Porz | ||||||||
Institutes and Institutions: | Institute of Software Technology > Intelligent and Distributed Systems Institute of Data Science Institute of Software Technology | ||||||||
Deposited By: | Santhanam, Sivasurya | ||||||||
Deposited On: | 14 Dec 2020 09:28 | ||||||||
Last Modified: | 24 Apr 2024 20:40 |
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