Abstract: The disclosed embodiments relate to a system for identifying member profiles containing disallowed content in an online social network. During operation, the system scans member profiles looking up words from one or more fields in “bad-word” and/or “good-word” dictionaries. These dictionaries were previously generated by examining member profiles that were judged by a human reviewer to be “good” profiles or “bad” profiles, and determining whether a word belongs in a specific dictionary based on frequencies of occurrence of the word in the good profiles and the bad profiles. Next, the system computes a score for each member profile based at least partially on occurrences of words from the dictionaries in the member profile. Finally, the system identifies a member profile as containing disallowed content based on the score.

Abstract: The disclosed embodiments relate to a system for identifying member profiles containing disallowed content in an online social network. During operation, the system scans member profiles looking up words from one or more fields in “bad-word” and/or “good-word” dictionaries. These dictionaries were previously generated by examining member profiles that were judged by a human reviewer to be “good” profiles or “bad” profiles, and determining whether a word belongs in a specific dictionary based on frequencies of occurrence of the word in the good profiles and the bad profiles. Next, the system computes a score for each member profile based at least partially on occurrences of words from the dictionaries in the member profile. Finally, the system identifies a member profile as containing disallowed content based on the score.