Text Categorization Examples ssign labels to each document or web-page Labels are most often topics such as Yahoo-categories g,"finance,""sports,""news> world>asia>business abels may be genres e.g, editorials""movie-reviews""news abels may be opinion e.g "llke r "hate "neutral Labels may be domain-specific binary SPAM e.g., "interesting-to-me", not-interesting-to-me' a e.g. ,spam. "not-spam' e.g, contains adult language,, doesnt PRNText Categorization Examples Assign labels to each document or web-page: ◼ Labels are most often topics such as Yahoo-categories ◼ e.g., "finance," "sports," "news>world>asia>business" ◼ Labels may be genres ◼ e.g., "editorials" "movie-reviews" "news“ ◼ Labels may be opinion ◼ e.g., “like” , “hate” , “neutral” ◼ Labels may be domain-specific binary ◼ e.g., "interesting-to-me" : "not-interesting-to-me” ◼ e.g., “spam” : “not-spam” ◼ e.g., “contains adult language” :“doesn’t