Text Analytics and Mining

Advanced Document Sciences combines many years of experience working with text analysis technologies with its proprietary methodology and techniques to identify and extract information and knowledge from textual content. Using text analysis techniques, we greatly reduce time and costs to access concise, relevant information, automate processes, and increase effectiveness across the organization.

Text analytics expertise is at the core of our solution and taxonomy designs for enterprise content and information management, knowledge management, auto-categorization and application automation. We also apply these technologies and techniques to expertise location, social network analysis, trend identification and analysis, information recommendation, and summarization of textual content.

The use of text analytics for information mining allows identification and exploitation of previously unknown or non-obvious relationships in information and content. Through intelligently applied analytic tools and practices, text mining identifies new, high value information, relationships, and combinations of information.>

Some of the areas in which Advanced Document Sciences applies text mining include:

• Identification of knowledge, information, relationships
• Development of new techniques and processes
• Acceleration of research and product development
• Competitive intelligence and situational analysis
• Decision support
• Scientific discoveries
• Sentiment Analysis
• Identification of important, actionable intelligence
• Information routing
• Information architecture design
• Content metadata design
• taxonomy design

Advanced Document Sciences is a recognized leader in the field of text analysis. We have worked with many different text analysis technologies and tools since 1993. Let us use our experience and expertise to help design valuable solutions for your organization.

Text Analytics Tools and Techniques:

• Entity extraction
• Auto-categorization
• Automatic summary creation
• Sentiment identification and extraction
• Content enrichment
• Enterprise search enhancement
• Enterprise search integration with taxonomy browsing
• Vocabulary design and term identification
• Integration of structured and unstructured data

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