Using a series of computational
text analysis tools to measure the use of hedging or emotional words, Srdan Medimorec and Gordon Pennycook, both PhD candidates in the Department of Psychology at Waterloo, examined two recent reports of opposing groups.
Not exact matches
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We differentiated between computational approaches (either based on volume data, such as the number of mentions related to a party or candidate or the occurrence of particular hashtags; or endorsement data, such as the number of Twitter followers, Facebook friends or the number of «likes» received on Facebook walls), sentiment
analysis approaches, that pay attention to the language and try to attach a qualitative meaning to the comments (posts, tweets) published by social media users employing automated
tools for sentiment
analysis (i.e., via natural language processing models or the employment of pre-defined ontological dictionaries), and finally what we call supervised and aggregated sentiment
analysis (SASA), that is, techniques that exploit the human codification in their process and focus on the estimation of the aggregated distribution of the opinions, rather than on individual classification of each single
text (Ceron et al. 2016).
In 2003 Pennebaker and statistician R. Sherlock Campbell, now at Yale University, used a statistical
tool called latent semantic
analysis (LSA) to study the diary entries of trauma patients from three earlier studies, looking for
text characteristics that had changed in patients who were convalescing and met rarely with their physician.
Matt Copeland, English Language Arts and Literacy consultant for the Kansas Department of Education, describes how he envisions schools will use
text complexity
analysis tools to take stock of their current curriculum and vet additions to the curriculum for appropriate levels of complexity.
-- Greater selection of middle school - level titles in the platform's online library — Lexile ® measure for every
text in the library — In - program annotation
tool to aid reading comprehension and
text analysis — Distinction in Blast writing prompt options for middle and high school discussions, plus new topic themes — Mobile device application for short form writing practice — Customization option for rubrics — More informative home page
Text complexity
analysis tools, content and performance complexity
analyses for items and more in - depth performance tasks, and prioritization and test emphasis considerations will be explored.
Jeri is actively studying and developing a variety of
tools and instructional resources to support educators» understanding of
Text - Dependent
Analysis.
A class management software
tool for teachers, schools & districts with attendance and grade
analysis,
text tracking, seating and more.
That means bringing together
text and video on the same page, providing communication and
analysis tools, and ultimately lowering the barrier to enjoyment and understanding that have bedeviled student and adult readers of Shakespeare over the last 400 years.»
In fact, that's how I read about 30 Japanese novels; I wrote a suite of scripts to grab the
text from a Japanese Kindle book, ran them through a morphological
analysis tool, generated custom vocabulary lists with translation, inserted pronunciation guides into the
text, and generated PDFs that could be read side - by - side on two Kindles.
Instantly, Jobscan's
analysis tool scans both bodies of
text and produces a resume match rate on a scale of 0 to 100 %.