337
edits
Changes
Jump to navigation
Jump to search
no edit summary
* [http://web.archive.org/web/20081224234350/http://www.dcs.shef.ac.uk/~sam/stringmetrics.html]
====3/24/2017 FRIDAY''2PM-5PM''====
* Discussed with Julia & Meghana about university keys to use to count # of occurrences, including aliases and misspellings
* Thoughts: to use a scoring metric with a key of UNIVERSITY OF CALIFORNIA SYSTEM, it should have a 'better' score when compared to MATHEMATICAL SCIENCES PUBLISHERS C/O UNIVERSITY OF CALIFORNIA BERKELEY than when compared to UNIVERSITY OF SOUTHERN CALIFORNIA, which may pose a challenge when attempting to implement this in a more general sense. In normalizing a string, strip "THE", "," and split words by spaces and compare each keyword from the two strings. Deciding on which strings to compare will be another issue - length (within some range maybe) could be an option.
* Federal Grant Data XML Parser was rerun - same output textfiles
[[Category:Work Log]]
