Datum
Auf Anfrage
2 Tage
Preise
€
Zielsetzung
Die Verarbeitung von natürlicher Sprache in Form von Textdaten steht im Fokus dieses Kurses. Hier werden die Fragen beantwortet, was Natural Language Processing überhaut ist, wofür man es benötigt und wie man die grundlegenden Verfahren use-case bezogen Anwenden kann.
Zielgruppe
Führungskräfte im Bereich Digitalisierung, Smart Data, Innovation, Data Science Labs, AI Labs, IT, Produktentwicklung, Chief Digital Officer, Chief Data Officer, Chief Information Officer
Inhalte
•Text scraping mit Selenium
•Textdatenvorbereitung mit SpaCy (Satzerkennung, Tokenisierung, Stop Words, Puctuation, Lemmatisierung, Part-of-Speach Tagging, Named-Entity-Recognition, Dependency Parsing, Rule-based matching, Introduction to Word Vectors, Cosine Similarity)
•Übersicht über frei verfügbare NLP Corpora
•Optional RegEx
Dieser Kurs ist als öffentlicher Kurs (vor Ort oder online) und auch als Firmenschulung (vor Ort oder online) verfügbar.
•Textdatenvorbereitung mit SpaCy (Satzerkennung, Tokenisierung, Stop Words, Puctuation, Lemmatisierung, Part-of-Speach Tagging, Named-Entity-Recognition, Dependency Parsing, Rule-based matching, Introduction to Word Vectors, Cosine Similarity)
•Übersicht über frei verfügbare NLP Corpora
•Optional RegEx
Dieser Kurs ist als öffentlicher Kurs (vor Ort oder online) und auch als Firmenschulung (vor Ort oder online) verfügbar.
Voraussetzungen
Wir empfehlen dringend unsere "Basic Kurse" und "Intermediate Kurse" oder
vergleichbare Erfahrung
Ihr Kontakt
Kerstin Dosin
Anmeldung
Kontakt
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Advanced 5: Introduction to Natural Language Processing
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Advanced 6: Advanced Topics in Natural Language Processing
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