The field of authorship attribution and textual analysis has undergone considerable refinement in recent years, driven by advancements in computational methods and machine learning. Researchers ...

Citations: Leone, Andrew J., Khrystyna Bochkay, Stephen Brown, Jennifer Tucker. 2023. Textual Analysis in Accounting: What's Next. Contemporary Accounting Research ...

This course is available on the MSc in Applied Social Data Science, MSc in Data Science, MSc in Human Geography and Urban Studies (Research), MSc in Political Science and Political Economy, MSc in ...

Imagine you’re reading a book, and you notice that one character is cheerful and upbeat, while the second character is pessimistic and never has anything positive to say. If you wanted to share your ...

Large bodies of text – in political speeches, social media posts, policy documents, and so on – are significant and useful data sources for social science research. Textual data analysis is a growing ...

Open text analysis empowers companies to harness AI, scale insights and deliver better customer experiences to improve retention and growth. Delivering superior customer experiences (CX) is a powerful ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

Text analysis powered by natural language processing (NLP) is helping transform digital marketing strategies. Here’s five ways it can help your team. Social listening tools enable marketers to build ...