Social Big Data Analytics Using Sentiment Learning Algorithms for Smart Cities

The evolution of Internet and Communication Technologies (ICTs) has changed the landscape of traditional web. The present scenario of web forms a large network of tools, techniques and people across globe, which turns the existing facet of web in a socially active web that is, social web. The collaborative and participative nature of social web results in the availability of huge and voluminous amount of data, big data, over net. This socially available big data or social big data from various fields such as business, market, information and security, governance, smart services, community buildup etc. can be optimally utilized to gain the insight information of the area for its multifaceted development and improvement. Different industries and organizations are rapidly using numerous techniques for data analytics in order to enhance their socioeconomic status among people. People are the most important factor contributing towards the success of any product, policy, program, protocol. Therefore, incorporating their opinion, ideology or thoughts will prove a milestone for the exponential growth of any concept or decision taken by government or organization