Sentiment analysis of microblogs such as Twitter has recently gained a fair amount of attention. One of the simplest sentiment analysis approaches compares the words of a posting against a labeled word list, where each word has been scored for valence, — a “sentiment lexicon” or “affective word lists”. There exist several affective word lists, e.g., ANEW (Affective Norms for English Words) deve...

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Lexicostatistics has been applied in linguistics to inform phylogenetic relations among languages. There are two important yet not well-studied parameters in this approach: the conventional size of vocabulary list to collect potentially true cognates and the minimum matching instances required to confirm a recurrent sound correspondence. Here, we derive two statistical principles from stochasti...

Mild cognitive impairment (MCI) is often associated with the preclinical phase of Alzheimer's disease (AD). Special scoring of word-list recall data for serial position has been suggested to improve discrimination of normal aging from dementia. We examined serial position effects in word-list recall for MCI participants compared to Alzheimer patients and controls. Individuals with MCI, like Alz...

The aim of this research is two-fold; first, to explore the most frequent COVID-19 inspired words in medical news reporting contexts, and second, classify them into different categories. This paper adopts a corpus-based approach build lemmatized academic word list (AWL) by pandemic. Factiva was used retrieve pandemic-related articles published News Rx from January 1 - October 31, 2020. A total ...

The role of prosody in adults’ acquisition of a miniature artificial language was examined in three experiments. In Experiment 1, learners heard and repeated prerecorded sentences of the language, and simultaneously saw corresponding referents, but did not see any printed words. Learners received four study-test trials. Half the learners heard a ‘‘single word’’ presentation, in which each of th...