Posts Tagged ‘named entity recognition’
Maximizing the value hidden within unstructured data
Executive summary Capturing value from unstructured data is increasingly linked to competitive advantage. As the availability of unstructured data snowballs, the pressure to discover and then optimize its value increases. Unstructured text data comes in both formal and informal formats. Formal sources include annual reports, research reports, news articles, company announcements, or transcripts of interviews.…
Read MoreSymbology mapping to unstructured data: a data science perspective
Dr Inigo Jauregi, Data Scientist, RoZetta Technology Read the article below or download the PDF version here. Financial market data, such as Tick Data, is consumed by analysts all around the world. It is “the most granular high-frequency data available” [1], vital for compliance activity, high-frequency/algorithmic trading and market microstructure analysis. With the increasing accessibility…
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