Engine Corpus Research Articles

Human trafficking in nairaland digital community: A corpus-assisted critical discourse study

Human trafficking in Nigeria as a topical issue has enjoyed more sociological interrogation with very scant attention in linguistics and discourse. This paper applies a corpus-assisted critical discourse study to examine representative posts on human trafficking in Nigeria (2019 to 2022) retrieved from the Nairaland digital community. Using the Sketch Engine corpus tool and social actors representation model, this paper investigates how different constructions were deployed by participants to represent human trafficking, human traffickers and traffick victims in Nigeria. Findings suggest four constructions oriented to negativity: prostitution/commodification of sex, abuse of underage for sexual satisfaction, maltreatment of others for huge labour, dismembering of humans for occultism and health-assurance. Participants deployed role allocation, nominalisation, and others to negatively evaluate human traffickers, especially as economic usurpers, exploiters, and fraudsters, while the traffick-victims were represented as naïve, non-violent, armless, defenceless and (in)active recipients of the activities of the human traffickers. The dominant negative constructs manifested implicitly and explicitly through tagging, negative comparison, appeal to sentimentalities, and expression of detest, while the positive constructs of victims manifested through pity and appeal to humanity. Online participants attack the political class, and declare their ideological stances on human traffickers in Nigeria, making efforts to project suppressed stances.

Multipluralism with education in Google books: Mechanisms descriptive about transsexuality and social representations and rights of adolescents

The work presented was prepared according to the need to understand the representations of human beings in their recognized historical rights identified throughout mainly adolescence as an important stage of life. This research is also motivated to understand public health policies identified in alignment with the representations of the human being in the phases of life, especially those aimed at transsexuals. I used the following lexical items added in English using the search engine through Google Books and, concomitantly, scanning in Brazilian Portuguese in a correspondence search engine called Brazilian Corpus made available by the Linguateca1 initiative. Therefore, these are recognized masculine genders, women, gays, lesbians, homosexuals, transgender people; person, transgender, transgender person, transsexual person, spiritual person, transgender person, transsexual person, gender queer, gender dysphoria, gender identity, gender diverse, gender non-conforming minors, gender non-conforming, gender affirming, non-binary; non-binary; transgender, gender diversity, non-conforming adolescents, LGBTQ, non- conforming people, minority genders, gender transition, family, adopted family (as well as their own plural forms). The phases of life have been operationalized by the following measures: man, woman, adolescent, adolescence, adult, boy, girl, child, elderly, child, young person and adolescent (as well as their plural forms). The data for the analysis consists of publications made available by Google Books in the period 1800 to 2008, totaling approximately 500 million words, in addition to the use of the SKETCH ENGINE Corpus which brings together publications in English and Brazilian Portuguese in this analysis. The Portuguese Corpus contains around 1 billion words of data from newspapers and magazines on the Internet in four Portuguese-speaking countries between 2012 and 2019 and is called the Portuguese Web (ptTenTen20). To this end, several analyzes were carried out, focusing in particular on the results related to the rights of transsexual people and when these rights began to be recognized in publications and the possible health policies addressed to adolescents and education.

Характеристики автореферентных и инореферентных компонентов дискурса саморефлексии французских женщин "третьего возраста"

The aim of the given study is to determine the general characteristics of self-referential (positive concepts accepted by the communicant) and other-referential (negative and unacceptable concepts) components in the narratives of French women of older (third) age. The material of this study is represented by the first-person reflections of French women aged from 50 to 75. The narratives represent the perception of women concerning their age and the process of further aging. The collected material was studied both with the help of expert contextual and semantic analysis, and with the use of the Sketch Engine corpus manager. The analysis of the practical material shows that certain lexical, grammatical and stylistic means play a special role in the construction of such a discourse. The analyzed narratives are lexically diverse, an abundance of lexemes with the opposite meaning (“jeune/old”- “vieux/young”) has been revealed. The most common nouns are “an/year”, “vie/life”, “âge/age” closely linked with the main concepts of the women’s life reflections. The communicants often return to their past, remembering their youth, summing up several life period results, comparing themselves in the past and present, and sometimes projecting their lives into the future. For this purpose, the forms of the past, present and future tenses are used in the narratives. The study shows that the older woman who accepts her age is a determined personality and she puts up and clearly delineates her personal boundaries. Thus, the self-referential circle includes such concepts as “Woman”, “Children”, “Family”, “Hobbies”, “Sports”, “Music”, “Fashion”, “Travel”, “Cuisine”. Her inner circle is contrasting with the concepts that she considers unacceptable (the society that promotes youth and condemns old age, the media as a mouthpiece of ageist public opinion, health problems, body ageing, the younger generation competing with the elders, depression, melancholy, decline of spirit). This all is forming the other-referential circle in the older women’s narratives. As the idea of comparison and opposition is inevitable in such a discourse, the degrees of comparison of adjectives and adverbs, personal pronouns of the 1st and 3rd person, conjunctions expressing concession and opposition are widely used. At the end of the study, the author proposes a scheme (figure 2), which clearly shows the most used language tools marking the interaction of self-referential and other-referential components.

Corpus technologies and their application in subject-language integrated learning

The purpose of this article is to reveal the didactic potential of corpus tools through its use in the framework of content language integrated learning on the example of using the Sketch Engine corpus manager and its application as part of the developed set of tasks for the bachelor program „Industrial Management” at Peter the Great St. Petersburg Polytechnic University. The features of content language integrated learning within the modern educational space of higher education are studied, and new trends in teaching a foreign language, as well as its integration with subject acquisition, are characterized. Didactic properties and didactic functions of the Sketch Engine corpus manager are described, as well as methods of using corpus tools in the implementation of CLIL technology in order to form foreign language subject competence among university students. A pattern of interaction between methodological principles and didactic properties of corpus technologies has been developed. A detailed classification of tasks implemented using corpus technologies is presented. The effectiveness of this tool is illustrated.

Use of Computer and Corpus Tols in the Research of a 19th Century German -Language Manuscript Bok of Notes and Extracts

Abstract The study explores the possibilities of using computer and corpus tools in the interpretation of texts of the genre of book of notes and extracts; these are documents consisting of extracts and modified excerpts from contemporary press and literature, records of the author’s own thoughts, etc. Samuel Ferjenčík’s manuscript is a Germanlanguage document by a Slovak author intended for private use; cited or adapted passages are usually given without any reference to the source. The paper introduces the problems of automatic identification of the source base, which relate to the application of OCR and content similarity detection tools. It discusses the results of text matching, which revealed several manipulations of source texts, especially substitutions, indicating attitudes and priority problems in the author’s thought-world. It further interprets the results of the use of the Sketch Engine corpus manager tools by which the frequency of occurrence of key terms and their collocability were investigated, paying special attention to substituted words. The paper is an example of the application of computer and corpus-linguistics methods to the interpretation of literary texts, which is represented by a number of current studies in the field of digital humanities. The proposed approaches are applicable to research on other books of notes and extracts, topical in the context of research trends related to egodocuments, as well as to textual research on monu ments of other genres.

When feminists became ‘extremists’: A corpus-based study of representations of feminism on Weibo

This article presents an analysis of the evolving representations of feminism on Weibo, China’s foremost microblogging platform, employing a corpus-based methodology. The self-compiled corpus comprised 334,871 feminism-related posts from 2019 to 2022. Using the Sketch Engine corpus analysis tool, noun bigrams containing 女权 ( feminism) were extracted, categorized, and compared to discern the portrayals and their transformations. The findings revealed a significant shift in feminism’s depiction, with an increased emphasis on its radical and aggressive aspects, and a decline in its portrayal as a quest for female privilege. During this period, the perception of feminism as an emerging social movement expanded, and the distinction between various forms of feminism and feminists based on different attributes became more prevalent, resulting in a marginally reduced representation of them as a unified entity. This research enriches the existing literature by emphasizing the dynamic portrayals of feminism on China’s social media and offering novel insights into its assessment.

THE USE OF CORPUS IN TEACHING RUSSIAN AS FOREIGN LANGUAGE: THE REVIEW OF THE EXPERIENCE OF ITALIAN AND OF BELARUSIAN STUDIES AND NEW "SEAH" RESOURCES

The article provides a detailed overview of the development of corpus linguistics applied to Russian language and a review of the most significant Italian and Belarusian publications on the use of corpora for the descriptive analysis of the Russian language and the teaching of Russian as LS. In this panorama, the author emphasises the innovative character and potential that the Ru_Seah corpus constitutes both on the Russian corpus linguistics front and for teaching Russian as a foreign language. The paper considers the experience of creating a professionally oriented Russian-language text corpus for students of Architecture and Construction using the Sketch Engine corpus manager as part of the SEAH project. It describes the aims and objectives of the project and the approach to the selection of material for the corpus. The paper explains the balance of the corpus, the inclusion of texts of different genres and styles in the corpus. It also deals with the elements of the search engine in relation to the annotation of the text corpus. The structure of educational modules compiled using the SEAH linguistic corpus is considered.

Semiotically Adaptive Computer-Mediated Speech Therapy with Patients in Aphasia in the Light of Ecolinguistics

The article describes the theory behind the design of a computer application for speech therapy of patients in aphasia. The project novelty consists in its data: to build up the training tasks, the authors used speech patterns that were semiotically relevant for the patients and visual supports obtained in experimental work. The research featured target-groups of healthy people whose gender, age, and social profile corresponded with those of patients undergoing neurorehabilitationat the Federal Siberian Research and Clinical Center of the Federal Medical and Biological Agency of Russia. The material included statistical data on the sociological characteristics of patients of the neurorehabilitation center in 2014-2018, as well as 18 questionnaires filled in by relatives of patients who were in rehabilitation from February to March 2019. It also involved scripts of interviews with 40 neurologically healthy native speakers of the Russian language of two gender-socio-professional groups that coincided in the language biography and collective speech profile with the most frequent groups of patients with complex motor aphasia. The data were processed using Sketch Engine corpus manager tools. The main methods of analysis included linguistic experiment, questioning, description, modeling, and design. The article introduces a methodological linguistic basis and a design project for a novel computer application that organizes speech therapy for patients with aphasia at home. The research was based on the ecolinguistic principle of relevance, which demonstrated good practical application prospects.

How can a corpus analysis tool help describe mentalizing skills in the speech of individuals with schizophrenia?

Individuals with schizophrenia reportedly exhibit severe speech and mentalizing difficulties. The study of schizophrenic speech is a multifaceted research field, including a functional linguistic approach. In order to understand the nature of patients’ linguistic dysfunction, the primary task is to identify the occurrence of linguistic disturbances during mentalizing processes. The study being part of an interdisciplinary research is based on guided interviews related to Hemingway’s short story entitled The End of Something, and it primarily focuses on identifying and classifying mental state language reflecting mentalizing processes. The present corpus includes 20 guided patient interviews which were digitally recorded and transcribed. The qualitative analysis targeting the description and classification of recurring mental state language patterns related to mentalizing skills was performed with the help of the Sketch Engine corpus analysis tool. The program assisted in the identification and classification of collocations associated with the interviewees’ mental processes. The results suggest that the language use of individuals with schizophrenia reflects mild microlinguistic impairments but more severe dysfunctions at the macrolinguistic level. Hopefully, the findings can offer some possible indications for psychotherapists on how to detect and interpret characteristic linguistic impairments and improve mentalizing capacities in this patient group.

Eurolect – Übersetzung in Bewegung. Diachrone Variation der Übersetzung des Passivs in institutionellen Rechtstexten

This study scrutinizes interlingual Eurolect from the perspective of the use of passive structures in the English language versions of EU institutional-legal texts while monitoring their variations in translation in the Slovak language versions. For the purpose of observing the diachronic variations in institutional translation, specific English-Slovak parallel corpora were compiled. The translational analysis draws on a text-based and corpus-driven approach while incorporating a mixed-method as a fusion of both qualitative and quantitative research in order to provide the most relevant outcome. To enable the quantitative analysis of the corpora to be accomplished precisely and time-efficiently, we employed the Sketch Engine Corpus Query Tool. The research findings reveal an increasing tendency in the use of passives in EU translation when comparing post-accession and contemporary subcorpora, suggesting a shift in English-Slovak translation practice despite institutional recommendations.

Speaking About People of Non-Binary Sex/Gender in Croatian

The paper analyzes different language problems connected with speaking about people of non-binary sex/gender in Croatian. Research is based on corpus analysis. One of the authors compiled the Croatian Gender Corpus using the Sketch Engine corpus compiling software for this analysis. The authors analyze these issues connected with speaking about nonbinary people: using nouns of masculine, neutral, or feminine gender; using masculine, neutral, or feminine pronouns and verbal forms; ways of addressing a non-binary person, normative problems noticed in the Croatian Gender Corpus. Some issues are compared to the situation in other languages.

Hair Colour Stereotypes in Croatian Language Corpora

The paper shows how hair colour stereotypes are reflected in two Croatian language corpora: the Croatian Language Corpus hrWaC and the Croatian Language Repository. Both were searched with the Sketch Engine corpus tool, utilizing the word sketches function, which shows the information on the most common collocations in which a lemma occurs. Synonymous words denoting female and male persons with fair, brown, black, ginger, or red hair were explored. The following hypotheses were confirmed or partially confirmed: women are more often defined by hair colour than men; more synonyms denote a female person of a particular hair colour than a male person; some synonyms appear in contexts suggesting stereotypes more often than others; in the formation of words especially denoting female persons of particular hair colour, some word-formation models are used to form pejorative and depreciative words and (by onymisation) animal names; and the adjectives pravi (‘real’), jedan (‘one’), and običan (‘ordinary’) serve as focus markers and suggest expressions reflecting stereotypes. Based on the conducted collocation and word-formation analysis, it is concluded that the collocations and word-formation models associated with hair colour words suggest various extralinguistic data, including the social status of women.

Translating the principles of good governance: in search ofaccountabilityin Spanish and German

AbstractGood governance is a key factor in underpinning the integrity and efficiency of an institution, whether it is a private company or a national or international organisation. The core principles of good governance are now often defined asfairness,accountability,responsibilityandtransparency. Although these terms are familiar to all those involved in corporate social responsibility/sustainability and business ethics, and are frequently discussed in the European Parliament and European directives, they often pose a challenge to the translator, since obvious equivalents for all of them do not exist in all EU languages. In this paper, I take the example ofaccountability, and examine the way that it is represented in both Spanish and German in the EUROPARL7 parallel corpus of European Parliament Proceedings, available in the Sketch Engine corpus platform.Accountabilityin English can be defined as an assurance that individuals or organizations will be evaluated on their performance or behaviour related to something for which they are responsible, or more simply, as being responsible for explaining what you do and able to give a satisfactory account of it to those whom your actions affect. The English termaccountabilitythus differs fromresponsibilityandtransparency, although it overlaps with both. However, not all languages allow us to distinguish easily between the concepts they designate. In fact, the majority of Spanish translations ofaccountabilityfound in EUROPARL7 simply useresponsabilidad, while others make reference torendir cuentasorrendición de cuentas, and a few actually usetransparencia. In German, the picture is less confused, with the closer termRechenschaftspflichtemployed as the usual translation, but an abundance of alternatives such asVerantwortlichkeitandAuskunftspflichtalso appear. In my conclusions, I discuss the rationale that may underlie the different choices, point to problems that might arise from poor translations, and suggest reasons we should strive to maintain clear definitions of these key concepts.

Nativised structural patterns of make light verb construction in Malaysian English

Abstract This study investigated nativised structural patterns of light verb constructions (LVCs) in Malaysian English using a corpus-based, descriptive approach to analyse grammatical innovations. To facilitate the analysis, a 100-million-word general corpus comprising threads from Lowyat.Net, a popular Internet forum in Malaysia, was created, and the British National Corpus (BNC) was used as the reference corpus. Using the Sketch Engine corpus tool, the three most frequently occurring make LVCs in the Malaysian English corpus were identified. The data was analysed to reveal the differences between the structures of make LVC in Malaysian English and its prototypical structure. The findings show that besides the non-isomorphic deverbal noun form, make LVCs in Malaysian English prefer taking the basic constituents of an LVC. Nativised LVCs are essentially those with zero articles and isomorphic deverbal nouns taking definite articles, determiners, and descriptive adjectives in their modifier slots. The zero article LVC is the most common nativised structure pattern due to the influence of substrate languages in Malaysian English.

What is cohesiveness?-A linguistic exploration of the food texture testing literature.

Cohesiveness is a widely used term in the food texture literature. Authors of this literature employ divergent methodologies, and can be divided into those who assess texture through sensory evaluation and those who use instrumental techniques. Within each of these disciplines, there are some specialized uses of the word, creating discipline specific terms such as "cohesiveness of mass." The fact that many researchers attempt to (re)define cohesiveness, does suggest that the term is not universally understood. This blurring arises partly from the abstract nature of what it describes and also from ill matching measurements being used to quantify it. A widely agreed definition is that cohesiveness is "the strength of the internal bonds making up the body of the product," yet a challenge continues to be how we can measure it. Using the Sketch Engine corpus analysis interface to examine a corpus of articles from the food texture literature in the periods 2002-2017, the contexts in which the word stem "cohes*" is used were explored. Collocation analysis suggests that in addition to considerable commonality in the way that "cohesiveness" combines with other terms, differences reflect the foci of the disciplines with the instrumental community predominantly dealing with physical measurement while the sensory community relate "cohesiveness" more to oral processing and texture perception.

Полифония «голосов» как средство реализации манипуляции в поляризованном политическом дискурсе

This article deals with the problem of manipulation in a polarized political discourse. A hypothesis is made here that the polyphony of voices, which was frst described by M.M. Bakhtin in his concept of the polyphonic novel, can be used as a means of manipulation within two main manipulative strategies: positive self-presentation and negative other-presentation. In this paper, the voice is a key discursive category, which is widely used by the media in order to construct an alternative reality that is benefcial for certain political forces and often has nothing in common with the real state of things. The material includes articles describing the relations of two political opponents – Russia and the USA – within the context of Venezuela crisis (100 texts published from May to December 2019). Using the methodology of discourse analysis, some elements of intertextual analysis as well as corpus-based technologies (Sketch Engine corpus manager) the author found that the polyphony of voices of different orders is a manipulation tool in a polarized political media discourse. The voice in a text is represented by a cited politician whose opinion is perceived as authoritative by the victim of manipulation. Moreover, the paper distinguishes three groups of voices according to the actors’ political importance. Thus, frst-order voices include Vladimir Putin, Donald Trump, Nicolas Maduro and Juan Guaido; second-order voices are represented by other powerful political fgures, as well as government and party members, while third-order voices are ordinary people, locals and eyewitnesses.

George Y. Shevelov’s text corpus: structure, functions, navigation

Background. In modem linguistics, the questions of the linguistic portrait of the person, the establishment of its structural and functional components are actualized. The study of eminent linguistic persons is very important, and George Y. Shevelov is one of them - as an eminent linguist, historian of literature, and critic. The scientific task to establish the linguistic corpus structure of George Y. Shevelov’s discursive practices is highly motivated.Purpose. The purpose of die article is to establish and implement an experimental and research model of text corpus of George Shevelov’s linguistic person with the determination of the main corpus components, patterns of free linguistic text navigation.Methods. The method of discursive analysis, body content analysis are used.Results. Text corpus contains all the Ukrainian-language published texts by George Y. Shevelov, it was created on the free NoSketch Engine corpus manager and is available on the server of the Department of General and Applied Linguistics and Slavic Philology in Vasyl’ Stus Donetsk National University at corpora.donnu.edu.ua. The quantitative parameters of the created corpus are as follows: 104 documents contain 1 346 424 tokens, and 1 037 949 are words in 66 039 sentences. The total lexicon includes 138 187 different word forms and punctuation marks, 157 original tags, and 32 172 lemmas. Conclusions and Prospects. The created corpus of George Y. Shevelov is research type, full-text and dynamic, has extralinguistic and linguistic markings. Among the important features: a) building a concordance based on simple search, search in lemmas, search for a phrase, wordfonn, symbol or a certain pattern created using die regular expression; b) frequency analysis for word forms, lemmas, and tags. The prospect of the research is the creation of a comprehensive George Y. Shevelov' s Texts Corpus, which will cover documents in Ukrainian and English and will be a reliable basis for studying the features of the outstanding scientist’s speech.Article received 26.07.2019

Methodological Corpora Toolkit and its Possibilities for Modelling Cognitive and Semantic Matrices

The article substantiates the necessity and effectiveness of involvement of corpus tools for studying the semantics of a word from the standpoint of interpretation of its cognitive nature, whose representatives have defended the encyclopaedic nature of meaning in general, unlike the views of scholars of classical structural semantics. In this connection, the correctness of Plungyan’s hypothesis that linguistics “outlines the contours of a new model of language, which is significantly and fundamentally different from the former models postulated in the last quarter of the XX century,” is commented on. Given this understanding of linguistic meaning and its role in presenting a new model of language, it has been suggested that it is important to study it in a broad and narrow context, in particular in terms of the combinatorial potencies of words – their lexical and grammatical compatibility, closely linked in corpus linguistics with such concepts such as collocations and colligations. The definitions of both terms have been clarified, and convincing arguments have been made in favour of the fact that collocations are conditionally free combinations of words used to characterize stereotypical situations and are displayed in the language of the native speakers in the form of ready phrases with inherent semantics, while colligations are limited by the morphological-syntactic frame of a certain structure. The methodological experience of corpus studies of colligations and collocations is analysed and proposed to be used to construct cognitive-semantic matrices of phrasal verbs in English. The main focus is on the capabilities of the Sketch Engine corpus system, in particular the availability of tools (Collocations, Word sketch, Thesaurus, Clustering, Sketch diff, etc.) that allow to integrate the classical (structural) method of distribution-statistical analysis of phrase-verbal collocations and colligations, and the method of lexico-semantic clustering, and the method of combinatorial syntagmatics. A hypothetical conclusion has been formulated that these and other procedural methods together will facilitate the disclosure of cognitive-semantic connections between the units under study with quantitative and statistical calculations of their performance. It is proved that the corpus-oriented principle of combinatorial syntagmatics becomes the leading methodological principle of modern cognitive-interpretative semantics.

Conceptualization of time in internet-texts of different emotional tonality

The research is made in the frame of methodology of emotional text analysis – the computer technology allowing to classify texts according to the criterion of the emotion expressed in them. The paper focuses on specificity of verbal means used in texts of eight emotional classes to deal with the category of time. The data we used consist in 3900 Internet-texts from social network VKontakte assessed by 2000 informants on a crowdsource platform. We processed the raw data using the elements of mathematical modelling, and, a set of tools offered by Sketch Engine corpus manager platform. The hypothesis is that while experiencing an emotion, an individual feels the time differently and, consequently, speaks about it not in the same way. We paid a particular attention to the weight of the lexemes those semantics is connected with the idea of time in different emotional text classes.

ЭМОЦИОНАЛЬНО НЕЙТРАЛЬНЫЕ ИНТЕРНЕТ-ТЕКСТЫ: В ПОИСКАХ СПЕЦИФИКИ

The article aims to discuss the problem of verbal features distinguishing emotionally neutral texts from emotional ones. Such features are necessary for elaborating a computer classifier designed to assign Internet texts in Russian to different emotional classes of texts including the neutral class. The complex analysis of the notion of neutrality in stylistics, axiology, emotiology and sentiment analysis allowed the author to formulate the preliminary hypothesis that emotionally neutral texts are marked by (1) the absence of obscene words and evaluative adjectives; (2) the non-expression of the modal frame of the utterance, which influences the functioning of xenomarkers (markers of narrative retelling), of deictic words and frequent predicates; (3) the lack of emotional vocabulary. The sources of the data for the study were three subcorpora: a subcorpus of texts from Wikipedia (136,184 tokens)—“neutral texts a priori”; a subcorpus of texts from the Russian social network VKontakte assessed by 2,000 informants as neutral ones—“neutral texts a posteriori” (14,000 tokens), and, finally, 15,000 emotionally loaded fragments of 60 to 80 words (1,092,327 tokens) from VKontakte assessed by the informants as texts manifesting different emotions: from anger to joy. The choice of the two neutral subcorpora was due to the author’s intention to examine the category of neutrality taking under consideration the genre of Internet texts. To learn the features of neutral Internet texts, the author used the methodology of corpus linguistics largely supported by a number of tools offered by the Sketch Engine corpus manager platform. The results partially confirmed the hypothesis and provided new details. Thus, the analysis revealed that the genre of the Internet text plays a crucial role in how the neutrality category manifests in it: for instance, Wikipedia texts have no obscene words, VKontakte texts assessed as neutral have a number of such lexemes. A similar discrepancy between neutral texts of different genres is observed on the grammatical level: for Vkontakte texts the collocation of the Russian verb byt’ [be] and the pronouns of the third person on, ona, oni [he, she, they] is statistically significant, for Wikipedia texts it is not. There are still some features proper to the two subcorpora considered as neutral: the absence of so-called “xenomarkers” and emotional vocabulary (words naming emotions, their manifestations, and typical situations in which people usually feel them); the low frequency, in comparison with emotional texts, of verbs and deictic words indicating time or place. The author has made a conclusion that, in the internet communicative space, the category of neutrality is construed differently than in others spheres of communication. Internet texts are generally so saturated with emotions that, even if in another context a text would be interpreted as an emotional one, in the social network users assess it as a fragment with no emotion. Another significant result is that the author has found a correlation between the type of narrator—narrator-experiencer, narratorobserver and narrator-non observer—and the type of text in terms of the category of neutrality. In further research, this will facilitate the predictability of text class—emotional or neutral.