Researchers from the Vrije Universiteit Amsterdam and the Dutch Royal Academy's Humanities Cluster have performed a thorough evaluation of four different name recognition tools on popular 40 novels, including A Game of Thrones. Their analyses, published in PeerJ Computer Science, highlight types of names and texts that are particularly challenging for these tools to identify as well as solutions for mitigating this.
Estimating tweet infectivity from the first 50 retweets is the key to predicting whether a tweet will go viral, according to a new study published in PLOS ONE on April 17, 2019, by Li Weihua from Beihang University, China and colleagues.
Our system for protecting health data in the United States is fundamentally broken and we need a national effort to rethink how we safeguard this information, say three experts in data privacy.
Charitable and humanitarian organizations are increasingly tapping into a $30 billion crowdfunding market, not only to raise funds but to build donors' trust by being more transparent, according to research from Indiana University's Kelley School of Business.
We are more original than we think -- this is what is being suggested by literary text analysis carried out by a new method of stylometry proposed by scientists from the Institute of Nuclear Physics Polish Academy of Sciences. The author's individuality can already be seen in connections between no more than a dozen of words in English text. It turns out that in Slavic languages authorship identification requires even fewer words and is more certain.
People watching 'social shows' like 'Dancing with the Stars' or 'The Bachelor' on television and simultaneously sharing their views on Twitter are more likely to be committed to the program and shop online, according to new research from Indiana University's Kelley School of Business.
Patient matching is crucial for patient safety and care. First of it's kind research from the Regenstrief Institute, Indiana University and Pew Charitable Trusts has found that standardizing last names and address information can improve linking of patient health records by as much as 8 percent -- more than 2 billion records -- and enhance data available to clinicians to inform their care decisions.
ORNL used artificial intelligence to analyze data from published medical studies about bullying to reveal the potential of broader impacts, such as mental illness or disease; New low-cost, printed, flexible sensor can wrap around power cables to precisely monitor electrical loads from household appliances; ORNL is evaluating paths for licensing remotely operated microreactors, which could provide clean energy to isolated regions; ORNL-led team used carbon nanotubes to improve process that removes salt from water.
The same data used by digital marketers to sell products can also help inspire conservation behaviors, according to new research from the University of Montana.
Academic experts in natural language processing from Lancaster University who are interested in deception have compared the language used within written April Fools hoaxes and fake news stories. They have discovered that there are similarities in the written structure of humorous April Fools hoaxes -- the spoof articles published by media outlets every April 1 -- and malicious fake news stories.