At EndemolShine, employees were interested in finding the trends that are present among viewers of their TV productions and wanted to measure the feelings of viewers on certain topics.

Solution

We built connectors to periodically obtain data from several social media channels in a single data lake environment.

We have then applied an algorithm to filter irrelevant messages such as advertisements from this data. On all the remaining relevant messages, we applied a sentiment analysis algorithm. Through entity analysis we could map subjects and in this way we created insights on public opinion on specific topics.

Result

The employees of EndemolShine can now use a PowerBI dashboard to have a real-time view of the reactions of their audience on topics, persons or products.