Computational methods are transforming research practice across the disciplines. In this one-day course you will learn how to apply computational methods for the analysis of text data. Using Python ...

Abstract: Coherence is an important component of text quality assessment and plays an indispensable role in many natural language processing tasks, such as automated essay scoring, text translation, ...

Apple's autocorrect on iPhone and iPad always aims to help when you're typing a message, but it's by no means perfect, and some of the replacements it continually spews out can be frustrating.

Text-based depression estimation using natural language processing has emerged as a feasible approach for early mental health screening. However, most existing reviews often included studies with weak ...

In my work with students across age groups, I have found great power in using words and images, as well as elements of design, to build capacity for critical analysis and discussion. Comics can be an ...

Discord servers can be pretty crowded, and it’s easy for your messages to not get attention. Hence, many Discord users use text formatting options to make their messages stand out from the crowd. If ...

Additionally, the effects of social media platform type, machine learning approach, and use of outcome measures in depression prediction models need attention. Analyzing social media texts for ...

Two complementary approaches were employed: Study 1 analyzed 1,902 Weibo posts containing “diet” and “social” keywords through latent Dirichlet allocation topic modeling and semantic network analysis ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. For anyone versed in the technical underpinnings of LLMs, this ...