CLASSIFICATION OF POSTS RELATED TO FACEBOOK BASED ON SPECIFIC CATEGORY
Gopasi Sravani, Akshay Krishna · Journal of Emerging Technologies and Innovative Research · 2018
The increase of interest in using social media as a source for research has motivated tackling the challenge of automatically geolocating messages , given the lack of explicit location information in the majority of messages. In contrast to much previous work that has focused on classification of messages(posts) restricted to a specific category, here we undertake the task in a broader context by classifying global messages, which is so far unexplored in a real-time scenario. To develop a system that classifies Facebook posts , Extract texts from posts, images, videos of social media as Face book to know how people feel about different posts, Classify the post gives probable effect of the original post, so its easier to understand social affect of any post on Facebook or any such social media.So we focused on Facebook statuses, which we can view as opinions of users or their reaction on concern we want to analyze. We develop tool status puller that automatically collects random Facebook statuses. Then we make classifier that performs classifications on that corpus collected from Facebook.The dramatic and exponential growth of content available on web and its classification has now become an efficient methodology to make the contents of large repository in an organized manner. Social networking websites are the new era of expressing views. Today every fifth person put their opinions, views, comments on these micro-blogging and social sites like, facebook and many more. Now people are using internet as a communication tool among their social network including friends, family, friends of friends to these micro-blogging and social network sites. In this we gradually put and share their opinions among their friends on these sites which finally becomes huge and relevant repository for any of particular entity or organization