We use Natural Language Processing and Sentiment Analysis to process news. Handling huge volumes of information can be challenging, therefore we choose Cassandra and Postgresql to help us with this task.
We use asynchronous processing to display content in an aggregator in real time. The crucial part is to tackle any bottlenecks as soon as possible. And the best solution in this case is parallel data processing.
It’s important not only to save and structure (organise) data but also to provide information as requested. For this purpose, we rely on tagging and full-text search engines.
When news is gathered, processed and saved, we need to display it in some readable format. All this requires clean and simple design.
Social media intelligence
One of the main goals of any business is to analyze how people respond to content in social and mass media. It can be tracked by an amount of likes or reposts. And for the tracking purposes, it’s necessary to get all the data with the help of the Compliance API and then to process the gathered information.
Aggregated data API
We build an API which provides interface to handle the data. We use it, for instance, when we need to post to social networks, process these data for own researches or products, etc.
We’ve spent over 10 000 hours developing
apps for news processing