The comments, tweets and reviews your customers are posting about your products and brand can deliver hugely valuable insights for your business. Extracting both meaning and sentiment – the 2 key ...

Long-range correlations in textual data refer to persistent dependencies between elements—words, characters or sentences—that extend across large spans of text. Unlike short-range associations ...

We use machine learning techniques on textual data to identify financial crises. The onset of a crisis and its duration have implications for real economic activity, and as such can be valuable inputs ...

This guide addresses research data management issues related to textual data refined for research use – particularly text content handled in a structured format. The text content may originate from ...

LONDON, Oct. 14, 2019 /PRNewswire/ -- S&P Global Market Intelligence announced the launch of Textual Data Analytics (TDA), a sophisticated new data offering which applies Natural Language Processing ...