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 ...

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 ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Text and Data Mining (TDM) is the practice of using technology to scan large amounts of data or text in order to identify themes, issues and correlations across different publications. This is ...