On demand webinar
Harnessing unstructured data with text mining in IBM SPSS Modeler
Learn how to identify sentiment, categorise free text and combine unstructured information with traditional analytics to generate richer insight. A practical guide for organisations looking to make better use of their text data.

Access this on-demand session to explore how organisations can extract value from unstructured data, which now represents the vast majority of information generated each day. Emails, documents, social media posts, customer comments and RSS feeds all contain rich insight, yet most organisations struggle to organise and analyse this rapidly growing volume of text-based data. This session provides a clear overview of how to make unstructured data useful and usable.
You will learn about the different types of unstructured data, the analytical techniques available and how these approaches can reveal sentiment, themes and behaviours that traditional structured data alone cannot capture. The session demonstrates how to analyse social media feeds, categorise free-text fields and combine unstructured information with existing analytics to deliver deeper, more actionable insight.
Designed for organisations seeking to unlock the value hidden in their text data, this on-demand session offers a practical starting point for developing more advanced capabilities.
- Definitions of data availability and types
- Overview of techniques available for analysing unstructured data>
- Understanding customer sentiment
- Analysing social media feeds
- Categorising customer comment fields
- Enhancing traditional analytics with unstructured information to make it useful and usable
