Aggregation of data from multiple social platforms like Facebook, Twitter, YouTube, Reddit, etc. and presentation on an omni-channel dashboard.
Custom algorithms for performing sentiment analysis on a section of summarized texts, besides leveraging powerful algorithms from AWS, Google Cloud etc.
Scraping data from various websites, collection of data for news aggregation through API integration or scraping tools like Webhose.
Parsing and summarising important digital document using latest technologies like NLU-NLG, so that the resultant text is a more generalised form of the original document
Reporting aggregated data and summarised documents in standard media industry formats. Powerful visualization of data through vibrant dashboards, graphs and charts using platforms like Tableau and Kibana.
A one-stop module developed for a Malaysian client, which acts as a bridge-like interface between the client database and any other data source