Predictive Models of Effective Anti-Smoking Arguments by Using Computerized Text Analysis: Personal, Textual Features and Their Interaction

2009 ◽  
Author(s):  
Young Min Baek ◽  
Joseph N. Cappella ◽  
Caryn Lerman ◽  
Andrew Strasser
Keyword(s):  
Predictive Models ◽  
Text Analysis ◽  
Textual Features ◽  
Computerized Text Analysis

Using computerized text analysis to examine associations between linguistic features and clients’ distress during psychotherapy.

2020 ◽  
Author(s):  
Natalie Shapira ◽  
Gal Lazarus ◽  
Yoav Goldberg ◽  
Eva Gilboa-Schechtman ◽  
Rivka Tuval-Mashiach ◽  
...  
Keyword(s):  
Text Analysis ◽  
Linguistic Features ◽  
Computerized Text Analysis

Sharing One's Story: On the Benefits of Writing or Talking About Emotional Experience

2009 ◽  
pp. 620-632 ◽  
Author(s):  
Kate G. Niederhoffer ◽  
James W. Pennebaker
Keyword(s):  
Text Analysis ◽  
Emotional Experience ◽  
Rapid Development ◽  
Emotional Valence ◽  
Social Orientation ◽  
Function Words ◽  
Writing Paradigm ◽  
Emotional Events ◽  
Historical Antecedents ◽  
Computerized Text Analysis

Over two decades of research devoted to the writing paradigm has resulted in substantial findings that translating emotional events into words leads to profound social, psychological, and neural changes. How and why would constructing stories about important personal events be so beneficial? The chapter describes the writing paradigm used in this research, offering an overview of the research findings and examination of its historical antecedents. While the precise mechanisms through which a narrative heals are still unrealized, we review three underlying processes that might explain its power: emotional inhibition, cognitive processes, and linguistic processes that echo changes in social orientation. Most recently, advances in computerized text analysis, in addition to the rapid development of the Internet, have afforded a new lens on the psychological transformations achieved through the writing paradigm. Linguistic Inquiry and Word Count (LIWC) is one such computerized text analysis program that captures style and content words. Originally created to better understand the language of emotional upheaval and recovery, with a focus on content and emotional valence, more recent research has focused on subtle stylistic differences in function words such as pronouns, articles, and prepositions. These “junk words” have proven to be reliable markers of demographics, biological activity, depression, life stressors, deception, and status. The chapter briefly reviews recent LIWC-based research regarding the often-overlooked stylistic components of sharing one's story.

scholarly journals The problem of the development of the historical and cultural heritage of the Returned Lands (Poland) on the pages of the Osadnik magazine: the experience of content analysis

2020 ◽  
Author(s):  
A. Saenko ◽  
Keyword(s):  
Content Analysis ◽  
Cultural Heritage ◽  
Text Analysis ◽  
Cultural Landscape ◽  
Second World War ◽  
The State ◽  
World War ◽  
Second World ◽  
Computerized Text Analysis

After the Second World War the former eastern provinces of Germany, called the Recovered Territories, were joined to Poland. The purpose of the study is to identify the main approaches to the development of the historical and cultural heritage of new territories, presented on the pages of the Polish magazine “Osadnik” (1946–1948), using the methods of computerized text analysis. It is concluded that two interrelated tendencies were the main ones in the policy of the state – the removal from the cultural landscape German features and the return of its Polish appearance.

scholarly journals Lexical Complexity on Descriptive Writing of Indonesian Male and Female EFL Learners

2018 ◽  
Vol 8 (3) ◽  
pp. 297
Author(s):  
Siti Aisah Ginting
Keyword(s):  
Academic Writing ◽  
Text Analysis ◽  
English Department ◽  
Lexical Diversity ◽  
Male And Female ◽  
Efl Learners ◽  
Lexical Complexity ◽  
Lexical Density ◽  
Descriptive Writing ◽  
Computerized Text Analysis

This study was aimed to find out the effect of gender on linguistics properties of academic writing abstracts of Indonesian Male and Female EFL Learners. Therefore, the linguistics properties of 40 essays from EFL learners (20 males & 20 females) were analyzed on the lexical complexity (diversity and density). The participants were selected from a homogenous group of EFL learners who were sitting for Writing 1 (one) subject in the English Department Universitas Negeri Medan—Indonesia. A computerized text analysis program (Word Smith Tools) was employed to measure the lexical complexity of the EFL learners’ essays (descriptive writing). As a result, females indicated to write more lexical density way than males in their descriptive writing but no significant different on lexical diversity. 

Introduction to Data Mining Methodology to Investigate Health Outcomes

2010 ◽  
pp. 1-14
Author(s):  
Patricia Cerrito
Keyword(s):  
Density Estimation ◽  
Predictive Modeling ◽  
Kernel Density Estimation ◽  
Predictive Models ◽  
Text Analysis ◽  
Population Distribution ◽  
Kernel Density ◽  
Extensive Information ◽  
Visualization Techniques

In this case, we provide some basic information concerning the statistical methods used throughout this text. These methods include visualization by kernel density estimation, regression and predictive models, time series, and text analysis. This case is not intended to provide extensive information concerning these techniques; references are provided for the interested reader who wants to follow up on the methodology. Some of the methodology is fairly well known while the predictive modeling and text analysis are relatively recent. One of the primary visualization techniques used is that of kernel density estimation. Since the patient base is relatively heterogeneous, we cannot assume that any health outcome is normally distributed. Kernel density estimation can find the entire population distribution so that we no longer have to rely upon averages and can relate the results more to individuals.

scholarly journals Reading Between the Lines: Understanding Customer Experience With Disruptive Technology Through Online Reviews

2021 ◽  
pp. 183933492199948
Author(s):  
Jeandri Robertson ◽  
Caitlin Ferreira ◽  
Jeannette Paschen
Keyword(s):  
Text Analysis ◽  
Online Reviews ◽  
Customer Experience ◽  
Disruptive Technology ◽  
Word Choice ◽  
Emotional Tone ◽  
Customer Reviews ◽  
Brand Engagement ◽  
Online Customer Reviews ◽  
Computerized Text Analysis

A customer’s experience with a brand, as evidenced in online customer reviews, has attracted multidisciplinary scholarly attention. Customer experience plays an important role as an antecedent to brand engagement, brand adoption, and eventual brand loyalty. Thus, it is important for businesses to understand their customers’ experiences so that they can make changes as necessary. The COVID-19 pandemic has brought unprecedented changes to the business landscape, forcing businesses to move online, with many utilizing enterprise video conferencing (EVC) to maintain daily operations. To ensure efficient digitization, many turned to the online reviews of others’ experiences with EVC before engaging with it themselves. This research examined how the customer experience is portrayed through emotional tone and word choice in online reviews for the EVC platform Zoom. Using computerized text analysis, key differences were found in the emotional tone and word choice for low- and high-rated reviews. The complexity and emotionality expressed in reviews have implications on the usability of the review for others. The results from this study suggest that online customer reviews with a high rating express a higher level of expertise and confidence than low-rated reviews. Given the potential dissemination and impact, digital marketers may be well advised to first and foremost respond to online reviews that are high in emotional tone.

Sign in / Sign up

Export Citation Format

Share Document