Scientific American: Mining Social Media Reveals Mental Health Trends and Helps Prevent Self-Harm

Scientific American: Mining Social Media Reveals Mental Health Trends and Helps Prevent Self-Harm. “Globally, more than four billion people use social media, generating huge stores of data from their devices. That information can be used in tracking more than just what they buy, their political leanings or the patterns of social media usage during the pandemic. It can also be channeled to help better detect mental illness and improve well-being. A growing number of studies show that language patterns and images in posts can reveal and predict mental health conditions for individuals and also evaluate mental health trends across entire populations.”

Online Journalism Blog: What are regular expressions — and how to use them in Google Sheets to get data from text

Online Journalism Blog: What are regular expressions — and how to use them in Google Sheets to get data from text . “In an extract from a new chapter in the ebook Finding Stories in Spreadsheets, I explain what regular expressions are — and how they can be used to extract information from spreadsheets. The ebook version of this tutorial includes a dataset and exercise to employ these techniques.”

Brandeis NOW: How artificial intelligence is helping scientists find a coronavirus treatment

Brandeis NOW: How artificial intelligence is helping scientists find a coronavirus treatment. “More than 50,000 academic articles have been written about COVID-19 since the virus appeared in November. The volume of new information isn’t necessarily a good thing. Not all of the recent coronavirus literature has been peer reviewed, while the sheer number of articles makes it challenging for accurate and promising research to stand out or be further studied. Computer science and linguistics professor James Pustejovsky is leading a Brandeis team in creating an artificial intelligence platform called Semantic Visualization of Scientific Data — or SemViz — that can sort through the growing mass of published work on coronavirus and help biologists who study the disease gain insights and notice patterns and trends across research that could lead to a treatment or cure.”

Berkeley Lab: Machine Learning Tool Could Provide Unexpected Scientific Insights into COVID-19

Berkeley Lab: Machine Learning Tool Could Provide Unexpected Scientific Insights into COVID-19. “A team of materials scientists at Lawrence Berkeley National Laboratory (Berkeley Lab) – scientists who normally spend their time researching things like high-performance materials for thermoelectrics or battery cathodes – have built a text-mining tool in record time to help the global scientific community synthesize the mountain of scientific literature on COVID-19 being generated every day. The tool, live at covidscholar.org, uses natural language processing techniques to not only quickly scan and search tens of thousands of research papers, but also help draw insights and connections that may otherwise not be apparent.”

EurekAlert: ORNL researchers develop ‘multitasking’ AI tool to extract cancer data in record time

EurekAlert: ORNL researchers develop ‘multitasking’ AI tool to extract cancer data in record time. “To better leverage cancer data for research, scientists at [Oak Ridge National Laboratory] are developing an artificial intelligence-based natural language processing tool to improve information extraction from textual pathology reports. The project is part of a DOE-National Cancer Institute collaboration known as the Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) that is accelerating research by merging cancer data with advanced data analysis and high-performance computing.”

The Sentinel: Computer science team creates coding program to interpret Chinese social media texts

The Sentinel: Computer science team creates coding program to interpret Chinese social media texts. “Kennesaw State Professor of computer science Dr. Dan Lo and his team of students created a program last semester to data mine Chinese social media sites in partnership with the U.S. Embassy in Beijing, China. Lo said the program retrieves and deciphers posts on popular Chinese social media outlets like Weibo and WeChat.”

International News Media Association: Introducing Cicero AI, Globe and Mail’s information mining tool

International News Media Association (INMA): Introducing Cicero AI, Globe and Mail’s information mining tool. “Cicero, named for the Roman orator, was created by our data scientists through conversations with the editor-in-chief and editorial staff. It’s an Artificial Intelligence platform used to reduce reporters’ manual work while helping them find connections and providing more transparency to readers for increased engagement.”

The Digital Pulpit: A Nationwide Analysis of Online Sermons (Pew)

Pew (PEW PEW PEW PEW PEW PEW PEW!): The Digital Pulpit: A Nationwide Analysis of Online Sermons. “Frequent churchgoers may have a good sense of what kind of sermons to expect from their own clergy: how long they usually last, how much they dwell on biblical texts, whether the messages lean toward fire and brimstone or toward love and self-acceptance. But what are other Americans hearing from the pulpits in their congregations?” The methodology was as fascinating to me as the research.

Arizona State University: Social media text mining can predict a company’s ‘brand personality’

Arizona State University: Social media text mining can predict a company’s ‘brand personality’. “‘Brand personality scales’ have been around for many years, using consumers’ feedback to attribute human characteristics to companies. These scales, which find that Cracker Barrel is ‘wholesome’ and Sephora is ‘contemporary,’ have proven to be reliable marketing tools. Now, a team including an Arizona State University professor and IBM researchers have harnessed machine learning to accurately predict brand personality ratings by analyzing hundreds of thousands of social media posts.”

Phys .org: New tool mines scientific texts for fusion protein facts

Phys .org: New tool mines scientific texts for fusion protein facts. “Different kinds of fusion proteins can arise naturally in the human body, sometimes leading to cancer. Understanding interactions between fusion proteins and other proteins can help improve personalized cancer treatment. However, the number of scientific papers discussing these interactions is growing rapidly, and there is no standard format for presenting this information. Thus, organizing and keeping abreast of this knowledge poses a major challenge.”

British Library: Introducing an experimental format for learning about content mining for digital scholarship

British Library: Introducing an experimental format for learning about content mining for digital scholarship. “This post by the British Library’s Digital Curator for Western Heritage Collections, Dr Mia Ridge, reports on an experimental format designed to provide more flexible and timely training on fast-moving topics like text and data mining.”