scholarly journals Evaluating stance-annotated sentences from the Brexit Blog Corpus: A quantitative linguistic analysis

ICAME Journal ◽  
2018 ◽  
Vol 42 (1) ◽  
pp. 133-166 ◽  
Author(s):  
Vasiliki Simaki ◽  
Carita Paradis ◽  
Andreas Kerren
Keyword(s):  
Quantitative Analysis ◽  
Linguistic Analysis ◽  
Linguistic Features ◽  
Data Set ◽  
Grammatical Categories ◽  
Entire Data

AbstractThis paper offers a formally driven quantitative analysis of stance-annotated sentences in the Brexit Blog Corpus (BBC). Our goal is to identify features that determine the formal profiles of six stance categories (contrariety, hypotheticality, necessity, prediction, source of knowledgeanduncertainty) in a subset of the BBC. The study has two parts: firstly, it examines a large number of formal linguistic features, such as punctuation, words and grammatical categories that occur in the sentences in order to describe the specific characteristics of each category, and secondly, it compares characteristics in the entire data set in order to determine stance similarities in the data set. We show that among the six stance categories in the corpus,contrarietyandnecessityare the most discriminative ones, with the former using longer sentences, more conjunctions, more repetitions and shorter forms than the sentences expressing other stances.necessityhas longer lexical forms but shorter sentences, which are syntactically more complex. We show that stance in our data set is expressed in sentences with around 21 words per sentence. The sentences consist mainly of alphabetical characters forming a varied vocabulary without special forms, such as digits or special characters.

scholarly journals A Critical Linguistic analysis of the representation of Muslims in The New York Times

2017 ◽  
Vol 21 (40) ◽  
pp. 217
Author(s):  
Zakaria Lemmouh
Keyword(s):  
New York ◽  
Quantitative Analysis ◽  
Analytical Method ◽  
New York Times ◽  
Linguistic Analysis ◽  
Linguistic Features ◽  
The New York Times ◽  
Syntactic Features ◽  
Shed Light

The aim of this study is to shed light on recurring lexical and syntactic features that contribute to a stereotyped image of out-groups in newspapers. The focus of the study is on articles relating to Muslims in The New York Times. The analysis is based on the analytic paradigm of Critical Linguistics (CL) and Corpus Semantics (CS). The results show that the linguistic features analysed point to a systematic ‘othering’ and stereotyping of Muslims as compared to other participants. The study concludes with a discussion on how the grammatical features examined work together to project a stereotyped image of Muslims and how the analytical method of Critical Linguistics (CL) copes with a quantitative analysis of a great deal of randomly chosen data from a corpus consisting of newspapers from the New York Times.

A New Approach for the Analysis of Mixture Toxicity Data

1992 ◽  
Vol 26 (9-11) ◽  
pp. 2345-2348 ◽  
Author(s):  
C. N. Haas
Keyword(s):  
Quantitative Analysis ◽  
Mixture Toxicity ◽  
New Method ◽  
Metal Exposure ◽  
Positive Interactions ◽  
Toxicity Data ◽  
Data Set ◽  
New Approach ◽  
Negative Interactions

A new method for the quantitative analysis of multiple toxicity data is described and illustrated using a data set on metal exposure to copepods. Positive interactions are observed for Ni-Pb and Pb-Cr, with weak negative interactions observed for Ni-Cr.

An Analysis of Indian English News Headlines

2020 ◽  
Author(s):  
Samapika Roy ◽  
◽  
Sukhada ◽  
Anil Kr. Singh ◽  
◽  
...  
Keyword(s):  
Linguistic Analysis ◽  
News Article ◽  
Linguistic Features ◽  
Indian English ◽  
Natural Languages ◽  
British English ◽  
Sentence Construction ◽  
News Headlines

News Headlines (NHs) are of the most creative uses of natural languages in a media text. An NH is the frontline of a news article. Specific characteristics make NHs standout: for instance, article omission, use of active verbs, dropping the copula to save space and to attract the reader’s attention to the most significant words, etc. Some research has been done on linguistic analysis of British English NH, Hindi-Urdu NHs, but hardly any work has been conducted on IndENH. This paper attempts to analyze Indian English newspaper headlines (IndENH), and aims to contribute to the accuracy of News Headline parsing. This study determines the linguistic features of the IndENH, to improve the quality of the parsed output of NHs. This paper covers sentence construction, tense, punctuation marks, metaphors, etc. for linguistic analysis.

scholarly journals Genre Analysis: A Study of Pakistani Wedding Invitation Cards

2020 ◽  
Vol V (I) ◽  
pp. 155-162
Author(s):  
Nazish Amjad ◽  
Fakhira Riaz
Keyword(s):  
Linguistic Analysis ◽  
Genre Analysis ◽  
Linguistic Features ◽  
Sentence Complexity

The present study has examined the Pakistani wedding invitation cards. The objectives of this study are to conduct the genre analysis of wedding cards i.e. to analyze the moves, its order, communicative purpose and nature; and to explore the micro-linguistic features of the language of wedding invitation cards. For this purpose, fifty Baraat invitation cards, Mehndi invitation cards and wedding cards envelopes each was selected for the analysis by using models proposed by Swales (1990) and Bhatia (1993). The results revealed eleven moves in Baraat invitation cards, ten in Mehndi cards and five in wedding cards envelopes out of which some are optional and some are obligatory depending on the frequency of its occurrence in wedding cards. For the analysis of micro-linguistic features, Bhatia’s model (1993) has been used. The micro-linguistic analysis includes sentence complexity, length of the sentence, verb, nouns, conjunctions and prepositions

Modeling Student Teachers’ Information-Seeking Behaviors While Learning With Network-Based Tutors

2018 ◽  
Vol 47 (2) ◽  
pp. 227-247 ◽  
Author(s):  
Eric G. Poitras ◽  
Negar Fazeli ◽  
Zachary R. Mayne
Keyword(s):  
Student Teachers ◽  
Recommender System ◽  
Information Seeking ◽  
Online Resources ◽  
Data Set ◽  
Tutoring Systems ◽  
Learner Model ◽  
Entire Data ◽  
Dynamic Version ◽  
Information Seeking Behaviors

Information seeking and acquisition is fundamental to learning from hypermedia, but student teachers often fail to regulate their own learning. A total of 68 students learned with either a static or a dynamic version of nBrowser, a network-based tutor that adapted recommendations of online resources to support information seeking and acquisition. Results indicated that the student teachers’ ratings for the usefulness of online resources can be predicted with 69% accuracy and 77% accuracy on the entire data set using the fully specified model. The learner model is discussed in designing a recommender system that supports information-seeking behaviors in the context of network-based tutoring systems.

Ethnicity and governing party support in Africa: A longitudinal multilevel analysis

2022 ◽  
pp. 135406882110649
Author(s):  
Carlos García-Rivero ◽  
Enrique Clari
Keyword(s):  
Quantitative Analysis ◽  
Multilevel Analysis ◽  
Survey Data ◽  
Important Influence ◽  
Voting Behaviour ◽  
Data Set ◽  
Party Support

Historically, ethnicity has been considered to play a fundamental role in voting behaviour in Africa. However, researchers on the issue have found contradictory conclusions. The most recent research concludes that the African voter is more rational than expected. Overall ethnicity seems to be less influential than theory used to suggest. Against this background, this paper analyses vote for governing party in Africa and presents evidence that the method and data set used will have an important influence upon the final result. The research takes form of a quantitative analysis making extensive use of survey data from 2005 to 2019. Results indicate that ethnicity, although not exclusively, is still an explanatory factor. At a glance, African vote is rationally ethnic.

4 Quantitative Analysis of Reasoned Decisions and Awards

2020 ◽  
Author(s):  
Strong SI
Keyword(s):  
Quantitative Analysis ◽  
Large Scale ◽  
Citation Count ◽  
Background Information ◽  
Structured Interviews ◽  
Data Set ◽  
Judicial Decisions ◽  
Counting Technique

This chapter involves a large-scale, quantitative analysis of judicial decisions and arbitral awards. The chapter begins by describing the methodology used to create the data set and coding criteria before moving on to present demographic and background information on the various decisions and awards so as to lay a foundation for the substantive analysis. Findings from the coding exercise include information generated by a novel paragraph-counting technique as well as a citation count analysis of both legal and factual authorities. The exercise tracks a number of issues addressed in the survey and semi-structured interviews, thereby allowing triangulation of data.

Grammar and Lexicon in Individuals With Autism: A Quantitative Analysis of a Large Italian Corpus

2009 ◽  
Vol 47 (5) ◽  
pp. 373-385 ◽  
Author(s):  
Arjuna Tuzzi
Keyword(s):  
Quantitative Analysis ◽  
Specific Language ◽  
Written Production ◽  
Statistical Procedures ◽  
Grammatical Categories ◽  
Distributional Patterns ◽  
Large Corpus

Abstract Statistical and linguistic procedures were implemented to analyze a large corpus of texts written by 37 individuals with autism and 92 facilitators (without disabilities), producing written conversations by means of PCs. Such texts were compared and contrasted to identify the specific traits of the lexis of the group of individuals with autism and assess to what extent it differed from the lexis of the facilitators. The purpose of this research was to identify specific language features using statistical procedures to analyze contingency lexical tables that reported on the frequencies of words and grammatical categories in different subcorpora and among different writers. The results support the existence of lexis and distributional patterns of grammatical categories that are characteristic of the written production of individuals with autism and that are different from those of facilitators.

Content Analysis in Climate Change Communication

2016 ◽  
Author(s):  
Julia Metag
Keyword(s):  
Climate Change ◽  
Content Analysis ◽  
Quantitative Analysis ◽  
Qualitative Analysis ◽  
Media Coverage ◽  
Reliability And Validity ◽  
Climate Change Communication ◽  
Linguistic Features ◽  
Change Communication ◽  
Content Analyses

Content analysis is one of the most frequently used methods in climate change communication research. Studies implementing content analysis investigate how climate change is presented in mass media or other communication content. Quantitative content analysis develops a standardized codebook to code content systematically, which then allows for statistical analysis. Qualitative analysis relies on interpretative methods and a closer reading of the material, often using hermeneutic approaches and taking linguistic features of the text more into account than quantitative analysis. While quantitative analysis—particularly if conducted automatically—can comprise larger samples, qualitative analysis usually entails smaller samples, as it is more detailed. Different types of material—whether online content, campaign material, or climate change imagery—bring about different challenges when studied through content analysis that need to be considered when drawing samples of the material for content analysis. To evaluate the quality of a content analysis measures for reliability and validity are used. Key themes in content analyses of climate change communication are the media’s attention to climate change and the different points of view on global warming as an issue being present in the media coverage. Challenges for content analysis as a method for assessing climate change communication arise from the lack of comparability of the various studies that exist. Multimodal approaches are developed to better adhere to both textual and visual content simultaneously in content analyses of climate change communication.

Enhancing national solidarity through the deployment of verbal categories

2012 ◽  
Vol 3 (2) ◽  
pp. 189-225
Author(s):  
Victor A. Friedman
Keyword(s):  
Linguistic Analysis ◽  
The Third ◽  
News Sources ◽  
Grammatical Categories ◽  
Political Narratives ◽  
The World ◽  
Nato Bombing ◽  
Second Period ◽  
National Solidarity

The deployment of the Albanian admirative as well as the evidential particles kinse ‘allegedly’ and gjoja ‘supposedly’ in Kosovar electronic news sources to render either dubitative or neutral reports — depending on both the source and the timing — contributed to the project of an independent Kosovo. The usages can be divided into three periods: 1994–1997, 1998–1999, and post-1999. During the first period, usage was exclusively dubitative and deployed for Serbian news sources. During the second period, which corresponded to the intensification of the armed uprising, usage shifted to neutrality, and during the third period, after the NATO bombing campaign, it returned somewhat to dubitativity, this time aimed at UN and NATO sources. The discussion demonstrates how pragmatics and grammatical categories contribute to the construction of political narratives and argues that a socially informed linguistic analysis is crucial to understanding how politics is performed in the world.

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