» Home » Resources

Text mining and visualization tools – Impressions of emerging capabilities

Remove from Bookmarks

Do you really want to remove?
This action cannot be undone. Choose 'Cancel' to stop and go back.
Ratings: 0
  • Which text to add here??

Added by MargitB on 2009-09-14 09:38

» Viewed 823 times
» Bookmarked by 1 user(s)
» 0 Comments
» This resource has public visibility

Holder of Rights:

Creator(s): Bristol-Myers Squibb

Search for similar resources
Description:
There is a plethora of text
mining and visualization tools available on the market to facilitate the innovative process in uncovering ‘‘hidden nuggets” of information about emerging technologies.

A high-level overview of some key text mining and visualization tools is presented in this paper to provide a comparison of text mining
capabilities, perceived strengths, potential limitations, applicable data sources, and output of results, as applied to chemical, biological and patent information.

Examples of tools to be discussed include sophisticated text mining software packages, some simpler full-text searching tools, and a few data visualization tools that could be integrated with the more sophisticated software packages and full-text searching tools.

Add to Collection

You don't have any collections yet. Click here to create your first collection!

Share to Group

You don't have any group you can share this resource with: the resource is already shared to all groups you are member in. Click here to see available groups!

Create QR Code

Please select the URI for the QR Code:




Tags

sort: alphabeticallyby frequency
use blanks to separate tags

Comments

Text mining and visualization tools – Impressions of emerging capabilities There is a plethora of text mining and visualization tools available on the market to facilitate the innovative process in uncovering ‘‘hidden nuggets” of information about emerging technologies. A high-level overview of some key text mining and visualization tools is presented in this paper to provide a comparison of text mining capabilities, perceived strengths, potential limitations, applicable data sources, and output of results, as applied to chemical, biological and patent information. Examples of tools to be discussed include sophisticated text mining software packages, some simpler full-text searching tools, and a few data visualization tools that could be integrated with the more sophisticated software packages and full-text searching tools. Bristol-Myers Squibb