The present corpus-based lexical study reports the development of a Pharmacy Academic Word List (PAWL); a list of the most frequent words from a corpus of 3,458,445 tokens made up of 800 most recent pharmacy texts including research articles, review articles, and short communications in four sub-disciplines of pharmacy. WordSmith (Scott, 2017) and AntWordProfiler (Anthony, 2014) were used to sc...

This paper discusses a computational approach to readability that is expected to lead eventually towards a new and configurable metric for text readability. Our research involves the elaboration, implementation and evaluation of an 8-part framework that requires consideration of both textual and cognitive factors such as language, vocabulary, background knowledge, motivation and cognitive load....

A number of studies have shown a relation to exist between word frequency, word value, and visual duration thresholds. Certain issues have developed concerning the interpretation of the observed relations. Two types of interpretation of results can be distinguished : 1. Those interpretations that claim word frequency to be the major determinant of visual duration threshold. This point of view c...

The overarching goal of this study was to create a list of the most frequently occurring academic words in Food Science and Technology (FST). To this end, a 4,652,444-word corpus called Food Science and Technology Research Articles (FSTRA), which included 1,421 research articles (RAs) randomly selected from 38 journals across five sub-disciplines in FST, was developed. Frequency and range-based...

This paper presents a method for gathering and evaluating user attitudes towards previously released video games. All user reviews from two video game franchise were collected. The most frequently mentioned words of the games were derived from this dataset through word frequency analysis. The words, called “aspects” were then further analyzed through a manual aspect based sentiment analysis. Th...