Page 2 - Language Resources News Today

Appen Limited (OTCMKTS:APPEF – Get Rating) saw a large growth in short interest during the month of April. As of April 15th, there was short interest totalling 7,400 shares, a growth of 2,366.7% from the March 31st total of 300 shares. Based on an average trading volume of 0 shares, the short-interest ratio is presently […]

Appen Limited (OTCMKTS:APPEF – Get Rating) was the recipient of a significant drop in short interest in the month of March. As of March 31st, there was short interest totalling 300 shares, a drop of 91.4% from the March 15th total of 3,500 shares. Based on an average trading volume of 0 shares, the short-interest […]

Researchers from the Sardar Vallabhbhai National Institute of Technology in Surat analysed the voice patterns of 630 people. Of the 630 people analysed, 111 of them genuinely had cold.

Work is underway to create anxiety and depression prediction models, using artificial intelligence (AI) and Twitter, one of the worlds largest social media platforms, that could detect signs of these illnesses before clinical diagnosis, according to researchers. Researchers at the University of

Researchers at the University of São Paulo (USP) in Brazil are using artificial intelligence (AI) and Twitter, one of the world's largest social media platforms, to try to create anxiety and depression prediction models that could in future provide signs of these disorders before clinical diagnosis.

The common interest doctrine can sometimes protect from the otherwise harsh privilege waiver impact normally triggered by the sharing of privileged communications among separately...

Cal EDD recommends that anyone denied federal pandemic unemployment assistance should consider reapplying under new guidelines.

Researchers at Adapt said their research approach works on multiple languages with few changes, decreasing the costs and time to remove bias.

As a worldwide epidemic in the digital age, cyberbullying is a pertinent but understudied concern—especially from the perspective of language. Elucidating the linguistic features of cyberbullying is critical both to preventing it and to cultivating ethical and responsible digital citizens. In this study, a mixed-method approach integrating lexical feature analysis, sentiment polarity analysis, and semantic network analysis was adopted to develop a deeper understanding of cyberbullying language...

Prior to World War I, Nevada’s Douglas County adopted an ordinance that prohibited Native Americans from being in the towns of Minden or Gardnerville after sunset — at the risk of jail time or worse.