Textual analysis

The aim of this article is to get the views of the students of the faculty of science and literature at the university on the formation of scientific and theoretical competence through the analysis of literary texts. Literary text is an important factor in developing students' communication skills. It is also very important in the analysis of literary texts. The opinions of the final year students of the faculty of science and literature are very important with the analysis of literary texts. For this purpose, interviews were conducted with a total of 92 senior students in the 2021–2022 academic year. Final year students are individuals who are ready for the profession from many fields. For this reason, the opinions of the students who will work in the profession of the future in the analysis of the texts were taken. The research questions were prepared by making content analyses by the researchers. In total, the final forms of the research questions were given by taking the opinions of four experts in their fields. The data obtained in this study, in which the qualitative research method was used, were thematised and explained with the content analysis method. As a result of the results obtained from the research, it was concluded that the students need scientific guidance in text analysis concepts. It was also concluded that the students had sufficient knowledge about the teaching and activities of literary texts. As a result of the results obtained from this research, training can be given to students on the analysis of text concepts in scientific terms. Keywords: Literary text, analysis, university student, opinion, qualitative method, scientific

PurposeThe purpose of this paper is to apply the wavelet thresholding technique in order to analyze economic socio-political situations in Tunisia using textual data sets. This technique is used to remove noise from contingency table. A comparative study is done on correspondence analysis and classification results (using k-means algorithm) before and after denoising.Design/methodology/approachTextual data set is collected from an electronic newspaper that offers actual economic news about Tunisia. Both the hard and the soft-thresholding techniques are applied based on various Daubechies wavelets with different vanishing moments.FindingsThe results obtained have proved the effectiveness of wavelet denoising method in textual data analysis. On one hand, this technique allowed reducing the loss of information generated by correspondence analysis, ensured a better quality of representation of the factorial plan, neglected the interest of lemmatization in textual analysis and improved the results of classification by k-means algorithm. On the other hand, the proximities provided by the factorial visualization validate the economic situation of Tunisia during the studied period showing mainly a stable situation before the revolution and a deteriorated one after the revolution.Originality/valueThe results are the first to analyze economic socio-political relations using textual data. The originality of this paper comes also from the joint use of correspondence analysis and wavelet thresholding in textual data analysis.

This paper reviews the development situation in Textual Emotion Analysis (TEA) and summarises the basic and mainstream methods of textual emotion analysis. This review explores how the researchers usually use these methods, the dataset of relevant research, the core features of these methods and their strengths and weaknesses. Specifically, this paper analyses the traditional and advanced usage modes in textual emotion analysis and provides insights into the recent relevant research and its results. Moreover, this paper points out the current challenges of textual emotion analysis, its possible solution and the future researches of textual emotion analysis. This paper fills an essential aspect of textual emotion analysis by summarizing and describing textual emotion analysis methodologies in detail, which can help the research in textual emotion analysis. The language structure of humans has become increasingly complex, which results in the challenges of textual emotion analysis. The standard and simple methods cannot provide a great solution to the current challenges. It is essential to understand the development situation and prospects of textual emotion analysis, as well as its creative methods the core features and effective usage mode in textual emotion analysis.

This paper describes a study where the discourses surrounding waterbirth were identified by an analysis of texts in professional journals and broadsheet newspapers. While one particular discourse, caring control, will be discussed, the focus of the paper is on the method of discourse analysis. What discourse analysis can offer nurses and midwives is a position from which to analyse systematically and to arrive at some understanding of how oppression and inequality of power relations, which are inherent in many forms of health care provision, are created and sustained.

The classroom-based research featured in this article explores how the development of student understanding of elements of visual art and design affected their comprehension, interpretation and analysis of multimodal texts, as well as the subsequent production of student-generated texts created in the medium of comics. This article presents the case study of Jarvinia, one of the grade 7 research participants, and focuses on her semiotic decision making when she designed a graphic narrative for the culminating activity of the research. Multi-literacies, multimodality, social semiotics and sociocultural theory framed the study as well as the descriptive analysis and discussion of the intentionality of Jarvinia’s meaning-making. A colour photocopy of Jarvinia’s graphic narrative and two interview transcripts constituted the sources of data that were examined to explore her text-making as a process of design. The findings from the descriptive case study reveal the intentionality of Jarvinia’s semiotic work when working with the medium of comics, and demonstrate how learning a metalanguage to talk about elements of visual art and design, and conventions of the medium of comics can inform more critical descriptions, interpretations and analysis of texts.

This paper examines the methodological issues encountered in a comparative case study, which investigated how discourses shaped and legitimated policy maintenance and policy change in Germany before and after unification. The research strategy involved discourse analysis of party political and parliamentary documents, integrating detailed textual and contextual analysis of the institutional framework within which discourses were articulated. The paper examines the possibility of using comparative case studies to develop concepts, and reviews the relationship between concepts and context in qualitative comparative research. A critique is then offered of the process of analysis, ranging from the initial data analysis using NUD*iST, to the re-contextualisation of the textual analysis, and the reintegration of context, theory and textual analysis in writing up the research.

Purpose This paper aims to report the results of a study into visitor evaluations of interactions with hotel employees in Mauritius. Given that the island's core tourism product is based on luxury resorts, tourist-hotel employee interactions possess a potential for determining satisfactory or unsatisfactory holiday evaluations on the part of visitors. Design/methodology/approach A sample of 103 visitors is interviewed using a semi-structured guide comprising open-ended questions. This approach reflects the lived experiences of guests and helps to better assess the role played by nationality when reporting visitor-staff interactions. Data are analyzed using both thematic analysis and textual analysis software. Findings Nationality, ethnicity and languages spoken are found to be factors that determine differences in requirements from hotel staff on the part of tourists. Nationality is the strongest discriminator of these requirements. Research limitations/implications As with many examples of qualitative research, the findings are time and place specific. Yet nonetheless, the concepts of personal construct theory permit some generalization. Practical implications Resort complex staff and management need to note the differences required by guests of different national groupings, and to appreciate that less than warm responses by some clients are not indicative of dissatisfaction. Originality/value The paper distinguishes between guests not only on the basis of nationality and ethnicity, but also languages spoken. No similar study relating to resort complexes in Mauritius has been identified. The study also uses two modes of textual data analysis to support the interpretation offered.

In the article one of the approaches to teaching quantitative linguistics course is described. In spite of the fact that the course is relatively new there are already some traditions in its teaching. Usually the usage of a number of mathematical methods and methods of mathematical statistics is accented. Students studying quantitative linguistics according to these programs are required to have a deep understanding in the corresponding subject areas. From the beginning of the 2000s text processing computer programs have been actively developed, there are examples of using these programs in studying process. Supporting and updating previously created programs is not of current interest, online services developed by big corporations are widely used for analysis and processing of linguistic information. Programs that appeared lately have much better quality, reliability and availability compared to their predecessors. They can be successfully used in studying process. The goal of writing this article is to describe the possibilities of modern computer means for text information analysis and the methods of their usage in the process of teaching students the course of quantitative linguistics. The functionalities of a number of popular online text processing and analysis services are described in this article. Further in the article examples of the practical work on following topics are given: Text frequency characteristics, Zipf’s Law, Semantic text analysis, Typological indices of Greenberg, Grammar text analysis, building semantic graphs. Computer text processing is used also during phonosemantic analysis of words and text, identification of the author of a text, finding the amount of information in the linguistic unit. In the program of teaching students on specialization «Applied linguistics» for studying the discipline «Quantitative linguistics» 3 credits, 10 hours of lectures and 20 hours of workshops are allocated. In prospect, the development of quantitative linguistics teaching course, extension of a list of topics for studying methods of computer text processing, deepening knowledge by studying algorithms of automated text processing are possible. This can be a subject for further research in the field of teaching quantitative linguistics course.

This article explores the multicultural dimensions within the texts of three South African soap operas (soaps). It uses text analysis and interviews as a methodology to expose the intricate web of influences that are all part of the fabric of a South African soap. The text and discursive analysis are based on Systemic Functional Linguistics Theory of Halliday. The analysis of the texts proceeds from a pre-interpretation stage, through an analysis stage and into a revisit or re-interpretative stage. The creators of the texts as well as commercial bias are seen as politico-economic and cultural influences which may have direct bearing on the texts and are therefore interrogated. The findings confirm no multicultural model for South African soaps and show correlation between commercial interests and homogenised South African stereotypes.

Electronic texts can be highly interactive. Forms of interactivity, such as hyperlinks, shortcuts or tags are not only signs to make meaning on the e-page but also space for actions and changing textual situations. Here, e-page interactivity and textual interaction become two different realms and make a gap between the text analysis and multimodal analysis. This case study aims to analyze the interactivity of the online tutorial booking and tracking application called ‘ ASP tutTrak’ by using a social semiotic multimodal framework for text and image analysis. The application is currently used in the Academic Success Center (ASC) of a tertiary level institution in the United Arab Emirates and was designed by the Information and Communication team of the same institution. The theoretical framework of the study presents multimodal social semiotics analysis of sites, signs and images of the ‘ASP tutTrak’ application through three metafunctions of communication (Halliday, 1978, Kress and Van Leeuwen, 1996, 2006). Since the application under consideration is in the academic domain, this study adapted Chou’s (2003) framework for interaction types for learner-interface and learner-content. Analysis of five sample pages indicate that the interactive meaning potentials of the digital text, interface and content are high and the application is interactive.

Today, natural language text processing automation is widely used in various fields (public sector, science, education, media, everyday services, etc.). This requires appropriate software tools (services) that can provide such automated processing. The purpose of this article is to analyse and study the problems of modelling the processes of linguistic analysis of Ukrainian natural language texts and designing appropriate software with the definition of the functional capabilities of its components. The research methodology encompasses a comparative analysis of the primary software solutions in this subject area (linguistic analysis of texts presented in natural language), systematisation of approaches to automated text processing, and formalisation of these processes in the form of a corresponding process model. The scientific novelty of the research lies in the analysis of current problems in systems supporting the processes of automated processing of texts in natural language, in particular Ukrainian; the development of a process model that combines different stages and phases of linguistic analysis of texts; and the design of an appropriate software solution to support this model. Conclusions. The work examines the main problems of natural language text processing; identifies the main methods of processing Ukrainian-language texts; analyses and systematises modern systems that support individual stages of automated natural language text processing; a project for an author’s software solution that will provide linguistic analysis of Ukrainian-language texts is described; a process model for linguistic analysis of natural language texts is proposed. The use of the proposed process model by users and developers will facilitate the deployment of high-quality Ukrainian-language services; on the part of institutions (relevant software products) during the modification of the linguistic analysis system, it will contribute to obtaining a more objective view of the most common problems of linguistic analysis (so-called language problems), lexicon gaps, and priorities for updates to Ukrainian-language NLP.

The authors review some of the problems faced by qualitative research in psychology, focusing on the aspects that limit its use and its inclusion in indexed publications. In order to determine whether these problems exist, a case study on textual analysis was performed. The authors conducted a literature search of many databases from the Web of Science (Sciences Citation Index, Social Sciences Citation Index and the Arts and Humanities Citation Index), with the keywords “textual analysis” and “text analysis”. Subsequently, the authors completed an in-depth analysis of a sample of the publications found, reviewing publication aspects, substantive aspects, methodological aspects and contextual aspects. The results showed that “textual analysis” cannot be considered a specific methodology and so the use of this term as a particular technique could be misleading. This highlights the need to create a common vocabulary to facilitate the systematization and dissemination of work done with qualitative methods.

To improve the accuracy and stability of existing methods to measure social relations in the Web, a novel model of relation measuring methods based on both a search engine and text analysis is proposed. The model measures the strength of social relations according to both the co-occurrence of two persons’ names in web pages obtained by a web search engine and the cooccurrence of two person names in sentences of the text of web pages as found by text analysis. The formalized description of the model is then presented. To evaluate the effectiveness of the proposed model, the specific implementation of the model is presented in detail. Experimental results show that compared with existing methods only based on a search engine or text analysis, the relation weights obtained by the specific methods based on the proposed model are more accurate and stable.

PurposeSentiment analysis and emotion processing are attracting increasing interest in many fields. Computer and information scientists are developing automated methods for sentiment analysis of online text. Most of the studies have focused on identifying sentiment polarity or orientation – whether a document, usually a product or movie review, carries a positive or negative sentiment. It is time for researchers to address more sophisticated kinds of sentiment analysis. This paper aims to evaluate a particular linguistic framework called appraisal theory for adoption in manual as well as automatic sentiment analysis of news text.Design/methodology/approachThe appraisal theory is applied to the analysis of a sample of political news articles reporting on Iraq and the economic policies of George W. Bush and Mahmoud Ahmadinejad to assess its utility and to identify challenges in adopting this framework.FindingsThe framework was useful in uncovering various aspects of sentiment that should be useful for researchers, such as the appraisers and object of appraisal, bias of the appraisers and the author, type of attitude and manner of expressing the sentiment. Problems encountered include difficulty in identifying appraisal phrases and attitude categories because of the subtlety of expression in political news articles, lack of treatment of tense and timeframe, lack of a typology of emotions, and need to identify different types of behaviours (political, verbal and material actions) that reflect sentiment.Originality/valueThe study has identified future directions for research in automated sentiment analysis as well as sentiment analysis of online news text. It has also demonstrated how sentiment analysis of news text can be carried out.

Sentiment analysis is a type of opinion mining study analyzing people's thoughts, feelings, and assessments evaluations of society things such as products, services, and institutions individuals, organizations, events and etc. This paper focuses on an effective machine learning model, Recurrent Neural Network (RNN), for sentiment analysis of both Bengali and English text. For sentiment analysis of Bengali text, we construct a novel dataset accumulated from different open source sites and social media. The dataset comprises over 17,000 texts, which are labelled as neutral, positive, and negative. Our study provides a rigorous comparative analysis on the performance of RNN in terms of sentiment analysis of both raw text and corresponding translated text (for both English and Bengali language). In summary, we achieve 82.9% and 84.5% accuracies for sentiment analysis of Bengali and English text respectively using RNN.