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Technologies / Artificial Intelligence

OpenNLP - text-based machine learning

An intensive training focusing on the use of the OpenNLP library in text-based machine learning. The class is conducted in a workshop format, where participants work on real-world examples and projects. The program combines theory with practice, enabling an understanding of basic concepts and their practical application in NLP projects.

Issues

  • OpenNLP architecture and components

  • Java text processing

  • Statistical models in NLP

  • Training language models

  • Evaluation of NLP models

  • Extraction of information from text

  • Document classification

  • Sentiment analysis

  • Integration with production systems

  • Performance optimization

  • Best practices in NLP projects

  • Language model management

Benefits

  • Practical knowledge in implementing NLP solutions using the OpenNLP library
  • Will develop the ability to create and train their own language models tailored to specific business needs
  • Will learn how to effectively process and analyze text data in production applications
  • Will learn techniques for optimizing and tuning NLP models for specific applications
  • Will gain the ability to assess the quality of models and improve them
  • Will be able to integrate NLP solutions into existing systems

Who is this training for?

Java programmers interested in natural language processing
Text data analysis specialists
Machine learning engineers new to NLP
Developers of applications using text analytics
Business analysts working with text data
Text process automation specialists

Prerequisites

  • Knowledge of Java at an intermediate level
  • Basic knowledge of machine learning
  • Understand the basic concepts of word processing
  • Experience in working with Java libraries

Training program

01

Library architecture and capabilities

  • Configuration of the development environment
  • Basic components of OpenNLP
  • Preparation of training data
02

Basic operations on text

  • Tokenization and sentence segmentation
  • Part-of-speech detection (POS tagging)
  • Lemmatization and stemming
  • Extraction of naming units
  • Machine learning models in OpenNLP
  • Training models on your own data
  • Evaluation of model quality
03

Parameter optimization

  • Saving and loading models
04

Practical applications

  • Document classification
05

Sentiment analysis

  • Information extraction
  • Integration with business applications

Delivery Methods

Online

  • Convenience of participating from anywhere
  • Interactive live sessions with trainer
  • Materials available for 30 days
  • No travel costs

On-site

  • Direct contact with trainer and group
  • Intensive hands-on workshops
  • Networking with other participants
  • Full focus on learning

Frequently asked questions

Who is the OpenNLP - text-based machine learning training for?

This training is designed for professionals looking to develop skills in opennlp - text-based machine learning. Required level: intermediate.

How long is the OpenNLP - text-based machine learning training?

The training lasts 2. Available in online or on-site format.

Will I receive a certificate?

Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.

Can this training be conducted for a closed group?

Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.

Klaudia Janecka
Klaudia Janecka Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

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Contact us - we'll prepare an offer tailored to your organization's needs.

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