Research into automated Term Processing: Term normalization Blacklist/whitelist Simple stemming Complex stemming Vocabulary matching Thesaurus application Clustering/faceting Weighting Disambiguation Possible language identification Unique term identification/rare term identification Sentiment analysis Multi-word tag processing
Users tag to help a museum or other organization with which they feel a bond Users specifically invited to tag by the Metropolitan Museum of Art were 4 times as productive as members of the public Public tagger: 22 tags/user Metropolitan Museum tagger: 84 tags/user
They have their own stories to tell or expert knowledge to share.
“ My wife and I lived in Baltimore from 1959 to 1964. One of her best friends' father passed away, and she gave my wife this work from his estate. We have proudly owned and displayed it in our home for the past 45 years.” “ This watercolor has been made in 1910 for the french newspaper " l'Illustration ". Dulac illustrated each christmas number of the Illustration between 1909 and 1913. I'm a french student (doctorat in History of Art) and wrote a monograph of Edmund Dulac when I was in Master degree.”
Only 14 of all tags matched the steve “blacklist” of profane terms. Rembrandt, The Nightwatch
#1. “Our visitors want to produce as much as consume, to speak as much as to listen.” -Matt Adams, Blast Theory, 12/7/09 When they talk, we have the tools to hear them. #2. You cannot predict when something you do will result in a transformative policy or practice. Be vigilant, stay alert!
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