Las-Vegas based company is a multi-linear data aggregation portal for verified business information for small companies across industries seeking capital from equity, banks or other businesses.
The data aggregator company wanted to create a proof of concept for a tool to be used by a sports organization. The need was to mine real-time user sentiment from various social media streams about NBA, NFL, baseball and school basketball and college football league matches. Positive, negative or neutral sentiment for each team would help from coaching decisions to fantasy sports.
Millions of viewers posted about the on-going matches on social media channels like Facebook, Twitter and Instagram. However, due to the heavy influx of unstructured text data generated every minute, actual analysis and mapping actual sentiment was difficult.
Inability to comprehend real-time and voluminous social media data and need to analyze customer sentiment led to a partnership between the data aggregator and Hitech Analytics.
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We built a sentiment analysis tool to capture and stream text data from multiple social media platforms daily to perform sentiment analysis. Using advanced natural language processing and AI/ML techniques, the data was visualized with intuitive dashboards that helped the client to make strategic decisions.
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