New desktop software and data management system for Signum News

Just recently I completed a desktop app for Signum News that allows us to organize our data management process at the business level. The high level functionalities of the desktop app include the management of data sources, the control and monitoring of data crawling jobs, data processing and editing as well as data quality management.

The data pipelines consists of a variety of machine learning algorithms, which do the heavy lifting. The first algorithm of the pipeline detects the language of the news article - an important step as the other algorithms are language specific. Furthermore, the data managements process includes algorithms such as a word type tagger for extracting keywords, a neural network for classifying the topical category of the article and a transformer model for summarizing and paraphrasing the full-text. 

In addition to the data extraction and processing technologies in the backend, the desktop software provides a graphical user interface, by which our media and data analysts can add, edit or delete news data. As soon as the data is edited and quality checked, users can upload new data to the database. 

If you are interested in implementing such a system in your business, we can specifically design a desktop software or web application based on your individual needs and business requirements. Feel free to contact us for further information.