Introducing an Automated System for Social Media Data Analytics

Social media is not only source of communication between people but also a source of communication between brands and their potential and existing customers. The term influential marketing though coined in recent past, has immense psychological effect over people. Decision to buy a specific product or choose a service is highly influenced by “Feeds� in social media. Feedback in the form of reviews play an important role in decision making of brands to improve their products and services according to expectations and needs of customers. Hence there is need to design and develop a system for social media data analytics which helps the business to build their brand image from users perspective. This article proposed an automated system for social media data analytics. The system keeps an eye on competitor’s strategy giving us an advantage in the global market. The system keeps an eye on competitor’s strategy giving us an advantage in the global market. Age volume of social media data will be pre-processed using modern engineering tools. A system will be implemented with hadoop cluster. For the conversion of unstructured data to structured form, the JSON files which are in the form of key-value form will be stored in relational database, preferably hive. An important goal is to analyze this social media data from user’s perspective. In order to achieve this, various classification algorithms are analyzed for various business strategies and it is observed that predictive Naive Bayes model supersedes the existing algorithms. It is expected that the proposed listener will help to improve the brand image for any business and engage with audience in a direct manner.