Text Mining and Analytics within the Public Sector
Many government organizations still struggle with the most basic aspects of managing unstructured content, which includes free-form language, emails, documents, and social networking applications. The challenge with text analytics is not a lack of information, but too much information. Typically taking the same path as big data, highly trained personnel, vast amounts of storage, and long development cycles make it unreachable for those organizations without deep pockets.
The Concept Searching Difference
Reduces cost, training, and support
Can be performed by a Subject Matter Expert
Finely tune the database
With the overabundance of information, organizations are often at a loss on how to derive high quality information from unstructured and semi-structured content. The analysis of content can be used to depict trends, gather intelligence, assist in research, or investigation. Concept Searching is highly efficient at creating the content set to be analyzed and removing irrelevant and unnecessary information. Easily developed highly granular taxonomies capture the unique meanings within content. When the taxonomy has been finely tuned the content can be exported to the tool of your choice for analysis.