IDENTIFYING SOCIAL NETWORK DELUSION TO INVESTIGATE ADDICTION RATIO BY MINING SOCIAL MEDIA DATA.

摘要

Identifying Social Network Delusion to Investigate Addiction Ratio by Mining Social Media Data Abstract: Mining social media is the method of defining, analyzing, and extracting applicative patterns and trends from row social media data. Social media are very popular way of expressing opinions and communicating with many individual in the online world. However rising amount of social network delusion among various age categories are recently noted. Hence, we propose a framework that analyzes SND (Social Network Delusion) and investigates the addiction ratio among various age groups and genders. This work first defines the framework for analyzing the social network delusion based on mining online social behavior, here it conducts the feature analysis and calculates sentiment score to increase prediction accuracy. Then it investigate the comparative social network addiction ratio by capturing SND result from recorded entries of SND prediction for large scale findings of SND cases among different age groups and genders. Keywords: Mental Illness, Social Network Delusion