Social media analytics framework for Identification of emerging employment trends

Abstract

Predictive analysis of social media has become prominence over the time in the field of research and business due to the actionable and significant information it provides. With the time, extensive experiments and analysis are performed on social platforms in domains of health-care, politics, social-science, business and demographics. The changing nature of information resources in big data era has created opportunity to bring new concepts and method of analytics. With the evolution second stage of internet Web 2.0 - Participative and Social Web, social platforms came as new information resources. Social media analytics refers to the approach of collecting data from social media sites and converting that data to knowledge for making future decisions. This process goes beyond the usual monitoring or a basic analysis of retweets or quotlikesquot to develop an in-depth idea of concept. The blend of social media and predictive analytics can create the actionable knowledge and insights for future use. newlineThe researcher has developed framework for prediction of Emerging Employment Trends from Social Media . Social Media Analytics process requires the ability to learn the data representations from heterogeneous and continuously evolving data sources for understanding of trend patterns from the content. newlineThe researcher has started experiments with TF-IDF and logistic regression model, preformed experiments with machine learning models. In this framework, researcher has developed hybrid deep learning model which integrates deep feed forward neural network and long-short term memory network to perform technology trend prediction from the collected posts of social platforms. The framework has been evaluated for the domain of information technology where technology trend prediction is performed. This framework comprises processes of data extraction, pre-processing, predictive modelling, tweet analysis and knowledge visualization. newlineThe primary contribution of this research is framework which is designed to predict future trends