Social Media Data Analysis
Making Insightful Investment, Leveraging The Power Of Sentiments Gaining valuable trading market insights through Sigma’s automated online sentiment analysis solution.
Client Challenge:
Social media sites, online forums, and news feeds generate an enormous amount of data about companies every day. The client wanted to process this large set of available data using dynamic tables to offer insightful predictions in an easy and comprehensible manner. The aim was to facilitate the better trading of stocks.
Client Journey:
Experts from Sigma worked closely with the client organization to design an application that would help them study the market sentiments of various firms and represent them visually to their users. The application would automate and serialize gathered data from different social media sites and news feeds. Following this, the data is structured and run through data mining tools to generate the required customizable predictions, which help facilitate trading decisions.
Company data is collected and collated from Twitter and Yahoo news. However this solution can also be extended to analyze data garnered from other sources, which showcase and help analyze trading sentiments.