Identification and Analysis of Spam Words from Facebook Spam Comments
Author(s) -
P. Namrata,
Jatinderkumar R. Saini
Publication year - 2016
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2016910587
Subject(s) - computer science , identification (biology) , spamming , spambot , world wide web , information retrieval , the internet , biology , botany
Various posts on social media contain number of spam comments which are counterproductive. Such comments may include advertisements, abusing words or pointless arguments. Current paper presents the findings on such comments and provides the frequency of unique words after stop words filtration. Total 10 Facebook links were evaluated for spam words identification. These 10 links contained a total 13,100 comments among which 2,404 spam comments were detected. Total Spam words from Spam comments were 18,505 including Stop words and Duplicates while total unique spam words were 12,266. It has been found that the words „recharge‟, „best‟, „like‟, „free‟ and „god‟ are the most probable spam words in the spam comments in profiles of celebrities on Facebook.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom