Abstract
Visualization interfaces that offer multiple coordinated views on a particular set of data items are useful for navigating and exploring complex information spaces. In application areas like customer relationship management (CRM) or business intelligence (BI), for example, structured customer or company data is often associated to text-based information like telemarketing transcripts or trade press articles. Supporting the analysis of such text information and related structured data is a major challenge for current CRM and BI tools. In this paper, we present a system for visually analyzing these particular information spaces based on a multiple views paradigm. The system brings together views on text similarity, text categories, and associated relational attributes; visual overlay techniques help to keep track of navigation and selection operations in complementary views. The paper sketches an application example and summarizes results from an initial usability evaluation.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.