Text Mining: Long-tail Data and Brain Connectivity

This lecture by the instructor covers the concept of long-tail data in neuroscience, emphasizing the vast amount of unstructured and unpublished data that holds valuable knowledge. It explores text mining techniques to integrate and analyze scientific papers, focusing on named entity recognition and mining protein concentrations. Additionally, the lecture delves into large-scale brain connectivity mining, showcasing examples of connectivity statements and the Bluima text mining system. The comparison of connectivity matrices extracted from literature and the Allen Brain Atlas is also discussed.