Selected information on language technologies
Sentiment analysis is the process of using natural language processing and computational linguistics to identify and extract subjective information from text. It is often used to determine the sentiment or emotional tone of a piece of text, such as a review or a social media post. There are several approaches to sentiment analysis, but one… Continue reading Sentiment analysis
Scrubly is a tool that helps users clean up their address book and remove duplicate, outdated, or incorrect contact information. It is a cloud-based service that allows users to import their address book from various sources, including Gmail, Outlook, and others, and then scan it for errors and duplicates. Scrubly uses advanced algorithms and machine… Continue reading Scrubly – clean up your address book
An automatic address book is a system that uses semantic web technology to gather and organize contact information from various sources. This can include social media profiles, business directories, and other online sources of information. Semantic web technology is a set of standards and technologies that allow data to be shared and understood by computers… Continue reading Automatic address book through semantic web technology
A working group of the XBRL[1]-Europe Association developed a taxonomy system which connects different concepts coming from different national legislations to each other. The system elaborated by a working group of the Monnet European research project extracts all labels associated with a particular expression automatically. Now they are focusing on the Belgian and Spanish taxonomies.… Continue reading Maximizing Multilingual Insights: Extraction Strategies for the Business Domain