An overwhelming portion of the content and data that exists in today's world is text data. Whether it resides in documents, websites, content management systems, emails, or social media, this type of data represents an immense and growing body of information and is the repository of much of the knowledge of our businesses and society. The unstructured nature of this data and the richness of human language it contains makes it difficult to tap even a fraction of this knowledge or its potential, however. Some of the many valuable sources of text data in today's world include:

• Documents
• Websites
• Content Management Systems
• Emails
• Social Media Feeds
• Call Center Logs

With its roots in Natural Language Processing, Statistical Linguistics, and Machine Learning research for the Defense Department and Intelligence Community, Intelligent Systems has a long history of applying these technologies to extracting meaning and value from large collections of text data. From mining customer insights in call center logs for phone companies, to automating large content migrations, Intelligent Systems has been harnessing these techniques to solve real world problems for over two decades. Examples of areas where we have successfully applied these technologies include:

• Mining Trends and Insights
• Document Classification
• Taxonomy Generation
• Metadata Discovery
• Content Extraction
• Content Migration and Conversion
• Search