期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：10
页码：3881-3889
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Social networking is a networking site that plays a vital role in modern life. Among them facebook plays an important role in modern world. Facebook a social networking sites that allow users to keep in contact with each other globally and helps to reconnect the old friends and allow them to share their views. Classification an supervised algorithm that is used to classify the comments. The comments may be positive, negative and neutral. The study is to investigate how people are accessing the Facebook and to review the views. In this study the articles posted are education, entertainment, sports, and current affairs. The number of users having shared a news article on Facebook, the number of likes given for the article, and comments for the articles are to be examined. The datasets have been taken for positive, negative and neutral comments. Linguistic analysis is applied to the comments of the users to reviews to know the different words are used to represent the positive aspects, negative aspects and neutral aspects. The system has the capacity to analyses the linguistic scenario with in a sentence, which has different meaning for a same word expressed in different situations with different word combinations. Depending upon on the age group the comments for the topics are gathered. The mode of accessing the facebook also taken as the attribute for doing the classification. With the continuation of the existing work, the attribute age and the mode of device are taken for performing the accuracy of the work. The accuracy is calculated using the naive bayes algorithm and the artificial neutral network algorithm.
