Connexun

Connexun's News and Text Analysis API is an AI-driven tool that tracks and analyzes news in real time, across various languages. This tool, powered by their proprietary artificial intelligence engine B.I.R.B.AL, uses a database of more than a million articles in different languages and applies top-tier models of Natural Language Processing (NLP). The service offered includes extraction of short summaries of news, NLP, machine learning models, and AI services.

B.I.R.B.AL works by implementing both supervised and unsupervised machine learning algorithms powered by deep learning techniques. It is trained to automatically crawl and scrape news from tens of thousands of open web sources and has capabilities to understand content and determine the relevant articles for the final recipient. B.I.R.B.AL is also capable of classifying and creating extractive short summaries of news content in multiple languages.

Connexun's AI-powered tool offers several features such as machine learning classification, interlanguage clustering, news topics ranking, and extraction-based summarization of news. It includes the ability to crawl and scrape news from a large number of open web sources and uses both supervised and unsupervised machine learning algorithms powered by deep learning to comprehend and classify the data.

Yes, B.I.R.B.AL, the technology behind Connexun's tool, can generate extractive short summaries of news content in various languages. It is a multiclass and multilingual classifier, making it effective in summarizing content for a diverse range of users.

B.I.R.B.AL uses a set of skills to understand the content and define the relevant articles to the final recipient when it crawls and aggregates news from open web sources. This is done using machine learning algorithms that analyse the content and determine its relevance based on the user's needs and preferences.