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LLMS (CHATGPT) AND NATURAL LANGUAGE PROCESSING WITH PYTHON

In-person events in Wiesbaden or online seminar on 2 days: €990 per person (net)

This two-day seminar aims to teach students the skills to process and analyze unstructured data using Python and Natural Language Processing (NLP).

OPEN TRAINING

In-person event in Wiesbaden

or online seminar

€990.00

per person, plus statutory VAT

In- person events will take place in Wiesbaden and will be held with a minimum of two registrations (offer guarantee)

IN-HOUSE SEMINAR

Seminars held at the customer's location

€1,290.00

per day up to 4 participants plus statutory VAT

All content of the in-house seminars is individually tailored and taught to specific target groups .


Intensive follow-up support enables participants to implement their knowledge in the shortest possible time.

Recommended seminar duration: 2 days

Rental fees for training notebook (on request): 60,- Euro (per day, per training computer)

COMPANY WEBINAR

Ideal for home offices or decentralized workgroups

€1,290.00

per day up to 4 participants plus statutory VAT

With seminars in our virtual classroom, you enjoy all the benefits of in-house seminars. You use your own computers and receive the same high-quality service from us, with less effort !

Course duration: By arrangement!

Natural Language Processing With Python
Natural Language Processing With Python

LEARNING OBJECTIVES AND AGENDA

Goals :

  • Overview of Natural Language Processing methods

  • Tokenization, lemmantization, POS tagging

  • Named Entity Tagging

  • Data extraction

  • Sentiment analysis

  • Word and document frequencies (tf-idf)

  • Correlations in texts (n-grams)

  • Topic Modeling rNNs

  • Optional: Transferring the content to your project

Day 1

  • Overview of Natural Language Processing methods

  • Data preparation in NLP tasks (tokenization, tagging, lemma)

  • Data extraction using pattern recognition

  • Sentiment analysis

Day 2

  • Recognizing patterns in texts (tf-idf, correlations)

  • Topic Modeling

  • Classifying texts with rNNs (Deep Learning)

Exercises along a case study

CONTENTS

The course is aimed at anyone who wants to analyze texts to identify themes , sentiments , or clusters . This course is spread over two days. The first day will primarily introduce the preparatory steps of NLP analysis.

The second day analyzes the prepared texts. Patterns and themes are extracted, and texts are classified .

The NLP with Python seminar makes it easier to get started with automated text analysis and classification, as it is often not clear in advance which methods are suitable and how the data should be prepared.

Implementation is always practical, preferably based on a case study (which will be discussed prior to the seminar).

If you book a corporate seminar , we'll be happy to tailor the content to your needs and even provide training based on your data. Just contact us!

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