SPAM BLOG DETERMINING DEVICE AND METHOD
PROBLEM TO BE SOLVED: To provide a spam blog determination device and method which determines a spam blog with manager's easy work.SOLUTION: A spam blog determination device 1 is equipped with: a prescribed-keyword storage control means 12 which stores prescribed keywords for which registration...
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| creator | TAKAZAWA CHIZURU |
| description | PROBLEM TO BE SOLVED: To provide a spam blog determination device and method which determines a spam blog with manager's easy work.SOLUTION: A spam blog determination device 1 is equipped with: a prescribed-keyword storage control means 12 which stores prescribed keywords for which registration designation has been accepted, into a prescribed-keyword DB 21; a machine learning means 14 which, in response to acceptance of blog articles as determination objects, uses prescribed keywords stored in the prescribed-keyword DB 21, as identities to determine whether the blog articles are spam blogs or not by machine learning; a spam determination result output means 15 which outputs blog articles including prescribed keywords stored in the prescribed-keyword DB 21, out of blog articles as determination objects in the machine learning means 14 and results from determining whether blog articles are spam blogs or not by machine learning, by associating them with each other; and a re-adjustment means 17 which, in response to acceptance of deletion designation of a prescribed keyword, deletes the prescribed keyword stored in the prescribed-keyword DB 21. |
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a machine learning means 14 which, in response to acceptance of blog articles as determination objects, uses prescribed keywords stored in the prescribed-keyword DB 21, as identities to determine whether the blog articles are spam blogs or not by machine learning; a spam determination result output means 15 which outputs blog articles including prescribed keywords stored in the prescribed-keyword DB 21, out of blog articles as determination objects in the machine learning means 14 and results from determining whether blog articles are spam blogs or not by machine learning, by associating them with each other; and a re-adjustment means 17 which, in response to acceptance of deletion designation of a prescribed keyword, deletes the prescribed keyword stored in the prescribed-keyword DB 21.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2011</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20111006&DB=EPODOC&CC=JP&NR=2011198065A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,778,883,25547,76298</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20111006&DB=EPODOC&CC=JP&NR=2011198065A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>TAKAZAWA CHIZURU</creatorcontrib><title>SPAM BLOG DETERMINING DEVICE AND METHOD</title><description>PROBLEM TO BE SOLVED: To provide a spam blog determination device and method which determines a spam blog with manager's easy work.SOLUTION: A spam blog determination device 1 is equipped with: a prescribed-keyword storage control means 12 which stores prescribed keywords for which registration designation has been accepted, into a prescribed-keyword DB 21; 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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | SPAM BLOG DETERMINING DEVICE AND METHOD |
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