For statisticians, traditional methods such as data mining, hypothesis testing, and inference have long been the backbone of analysis. These approaches remain powerful, but new tools—especially natural language processing and generative AI—make it easier to uncover insights, automate text-heavy tasks, and support decision-making at scale.
Text Mining
Text Analysis Interest Group Recaps First Full Year
The ASA’s Text Analysis Interest Group (TAIG) has had a productive first full year. TAIG brings together individuals and groups who have an active interest in text analysis, text mining, natural language processing, and related areas of research at their intersection with statistics.
Data for Good Tech: Cool Science for Hot Projects
One of the great aspects of data for good is that the technology never stands still. For some ideas and inspiration, David Corliss outlines a few examples of where Data for Good tech is leading the way.
New ASA Interest Group: Text Analysis
The ASA’s big tent grew bigger recently with the addition of the Text Analysis Interest Group (TAIG). The group was petitioned in the fall of 2018 and formally approved by the Council of Sections Executive Committee in March 2019.
Physical and Engineering Sciences Sponsors Short Courses at JSM 2014
The Section on Physical and Engineering Sciences will sponsor two short courses at JSM 2014.