Coronavirus (COVID-19) is currently dominating news coverage in the media. One of the most popular questions is when the number of infections will reach their peak. Virologists have been creating models, authorities making predictions, and even public figures, who are themselves not specialists, have been posing as experts. Eurospider switched its “Compliance Machine” from adverse media to COVID-19 and searched for opinions in the media about when the pandemic will reach its peak.

Albert Einstein Portrait

In 1924, Albert Einstein wrote: “Tradition first makes the development of ideas possible, but later hinders it.” What held true for the new physics of his time holds true for the compliance processes of today.

Buch Brille

Eurospider’s digital assistant (DA) supports the verbal and classificatory indexing of the books and essays that libraries want to make searchable according to content criteria. In the past, subject indexing was regarded as a central and demanding task for libraries. Today, the future of this content indexing process is the subject of endless discussions and projects. Eurospider’s DA is intended to help develop a strategy that will reduce the time and cost of indexing, increase indexing quality and enable cooperation between national and international libraries.

The main advantage of carefully programmed chatbots is that they offer context-based information. A good chatbot doesn’t repeat the same question and doesn’t ask pointless questions that have already been answered. These factors have certainly contributed to the current hype surrounding chatbots, which ZHAW observed in a survey of 926 people from 18 to 25 June 2018.

A transaction monitoring system identifies higher-risk transactions (art. 20 para. 2 AMLO-FINMA). Statisticians give such tasks the respectful label of ‘ill-posed problems’, as they cannot always be conclusively solved. Statisticians love solving these problems.

Information Retrieval

The objective of Information Retrieval (IR) is to search large data collections for information relevant to a user’s information requirements. The term “information retrieval” was coined by Calvin Mooers in 1950. Like “research” the word “retrieval” does not refer to refinding something. It rather relates to the information retrieval paradox: “If I knew what I was searching for, I wouldn’t be searching for it.”

Information retrieval is focuses on three dimensions: systems and applications, theory and models, evaluation. Various retrieval models exist, such as Vector Space Model (VSM) and probabilistic and language models. For evaluatio,n recall and precision are often used. SMART was an early retrieval system that dealt with all three aspects. RankBrain is a more recent retrieval system based on TensorFlow.

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