NLP Applications for Corporate Texts (Classification, Summarization, Theme Extraction)
Teaches how to apply theme extraction, classification and summarization to institutional texts such as petitions, complaints and call center records, with human-approved quality processes.
Training content
- Theme extraction from petition/complaint/call center texts
- Automatic tagging
- Summarising
- Classification and human-approved quality processes
At the end of this training, participants
- Will learn, through hands-on practice, how to use organizational text data sources to produce decision support.
- Will be able to create a standard topic tree using theme extraction and classification logic on texts.
- Will be able to make automatic summarisation and tagging processes safe with human verification mechanisms.
- Will be able to plan how to integrate text analysis outputs into reporting and dashboard systems.
- Will be able to design control steps to manage risks such as misclassification and context drift.
In this way, text data will become a measurable source of insight that accelerates institutional processes.