scholarly journals ASPECT-BASED SENTIMENT ANALYSIS OF POLITICAL DISCOURSE

2021 ◽  
Vol 7 (3) ◽  
pp. 6-22
Author(s):  
Elena G. Brunova ◽  
Yulia V. Bidulya ◽  
Alexander A. Gorbunov
Keyword(s):  
Sentiment Analysis ◽  
Political Discourse ◽  
Affective Computing ◽  
English Language ◽  
Linguistic Features ◽  
Text Document ◽  
User Comments ◽  
Linguistic Rules ◽  
Analysis System ◽  
Linguistic Units

The existing systems for accurate sentiment analysis are mainly based on statistical and mathematical principles. However, more promising are the works that are devoted to the study of the linguistic features of the evaluation expression. The results of this formalization can be applied both in the field of affective computing for further improvement of automatic systems and for linguistics and related sciences. The novelty of this study lies mainly in the development of an algorithm based on the identified linguistic rules. In addition, the research material is political discourse, which has not yet been studied enough by specialists of affective computing. The relevance of this work is justified by the growing need for categorization of information published on the Internet. The purpose of the study is to develop a system for machine sentiment analysis of English-language political texts, as well as to identify aspects and their distribution for subsequent use in enhancement. The article discusses the linguistic features of sentiment analysis and suggests a classification of linguistic units with sentiment potential in relation to levels of language structure. The results of an experiment on testing the operation of the sentiment analysis system, conducted on 300 news articles and user comments taken from reddit.com/r/politics, are also presented. The accuracy of the system is 92%. In addition, the selected 40 comments were manually marked up and tagged; during this process the expert identified 25 aspects. Furthermore, 3 formal patterns were identified in the distribution of aspect terms, which is necessary for creating an automatic system. The first peculiarity is that the aspect terms are repeated in two consecutive sentences. The second is that aspect terms are often the themes of sentences. Finally, the third — a high frequency of distribution of aspect terms at the beginning and end of the text (document) was revealed.

Classification of Code-Mixed Bilingual Phonetic Text Using Sentiment Analysis

2021 ◽  
Vol 17 (2) ◽  
pp. 59-78
Author(s):  
Shailendra Kumar Singh ◽  
Manoj Kumar Sachan
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Social Networking Sites ◽  
Large Scale ◽  
English Language ◽  
Product Reviews ◽  
Internet Users ◽  
Social Media Text ◽  
Analysis System

The rapid growth of internet facilities has increased the comments, posts, blogs, feedback, etc., on a large scale on social networking sites. These social media data are available in an unstructured form, which includes images, text, and videos. The processing of these data is difficult, but some sentiment analysis, information retrieval, and recommender systems are used to process these unstructured data. To extract the opinion and sentiment of internet users from their written social media text, a sentiment analysis system is required to develop, which can work on both monolingual and bilingual phonetic text. Therefore, a sentiment analysis (SA) system is developed, which performs well on different domain datasets. The system performance is tested on four different datasets and achieved better accuracy of 3% on social media datasets, 1.5% on movie reviews, 1.35% on Amazon product reviews, and 4.56% on large Amazon product reviews than the state-of-art techniques. Also, the stemmer (StemVerb) for verbs of the English language is proposed, which improves the SA system's performance.

Sentiment Analysis of Sinhala News Comments

2021 ◽  
Vol 20 (4) ◽  
pp. 1-23
Author(s):  
Surangika Ranathunga ◽  
Isuru Udara Liyanage
Keyword(s):  
Sentiment Analysis ◽  
Word Embedding ◽  
Semantic Features ◽  
End User ◽  
Language Resources ◽  
Low Resource ◽  
Statistical Classifiers ◽  
User Comments ◽  
Basic Language ◽  
Analysis System

Sinhala is a low-resource language, for which basic language and linguistic tools have not been properly defined. This affects the development of NLP-based end-user applications for Sinhala. Thus, when implementing NLP tools such as sentiment analyzers, we have to rely only on language-independent techniques. This article presents the use of such language-independent techniques in implementing a sentiment analysis system for Sinhala news comments. We demonstrate that for low-resource languages such as Sinhala, the use of recently introduced word embedding models as semantic features can compensate for the lack of well-developed language-specific linguistic or language resources, and text classification with acceptable accuracy is indeed possible using both traditional statistical classifiers and Deep Learning models. The developed classification models, a corpus of 8.9 million tokens extracted from Sinhala news articles and user comments, and Sinhala Word2Vec and fastText word embedding models are now available for public use; 9,048 news comments annotated with POSITIVE/NEGATIVE/NEUTRAL polarities have also been released.

An historical analysis of species references in American English

Corpora ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. 327-349
Author(s):  
Craig Frayne
Keyword(s):  
Environmental Change ◽  
Sentiment Analysis ◽  
Quantitative Methods ◽  
English Language ◽  
Language Use ◽  
American English ◽  
Historical Analysis ◽  
The Past ◽  
Corpus Studies ◽  
Google Books

This study uses the two largest available American English language corpora, Google Books and the Corpus of Historical American English (coha), to investigate relations between ecology and language. The paper introduces ecolinguistics as a promising theme for corpus research. While some previous ecolinguistic research has used corpus approaches, there is a case to be made for quantitative methods that draw on larger datasets. Building on other corpus studies that have made connections between language use and environmental change, this paper investigates whether linguistic references to other species have changed in the past two centuries and, if so, how. The methodology consists of two main parts: an examination of the frequency of common names of species followed by aspect-level sentiment analysis of concordance lines. Results point to both opportunities and challenges associated with applying corpus methods to ecolinguistc research.

Means Of Reproduction Of Communicative Semantics In Synchronous Translation Of English-Language And Chinese-Language Economic And Political Texts In Ukrainian

2019 ◽  
Vol 26 (27) ◽  
pp. 30-41
Author(s):  
Maryna Baklanova ◽  
Oleksandra Popova
Keyword(s):  
Key Words ◽  
English Language ◽  
Chinese Language ◽  
Time Frame ◽  
Contrastive Analysis ◽  
Linguistic Features ◽  
Simultaneous Translation

This article is devoted to the problem dealing with the reproduction of communicative semantics while translating English, Chinese economic and political texts into Ukrainian. The content and structure of simultaneous translation were analysed. A contrastive analysis of the linguistic features of the English, Chinese and Ukrainian communicative semantics was made. Some tactics enabling the reproduction of the texts under research into the Ukrainian language within simultaneous translation were specified. Key words: simultaneous translation, transformations, the Chinese language, the English language, the Ukrainian language, speech tempo, time frame.

MEDIATEXT IS A TOOL THAT DETERMINES THE QUALITY OF INFORMATION

2020 ◽  
Vol 6 (3) ◽  
pp. 158-164
Author(s):  
Navruza Yakhyayeva ◽  
Keyword(s):  
Functional Properties ◽  
Linguistic Features ◽  
Text Linguistics ◽  
Quality Of Information ◽  
The Creation ◽  
Linguistic Units ◽  
Scientific Classification

The quality and content of information in the article media text is based on scientific classification of linguistic features. The study of functional styles of speech, the identification of their linguistic signs, the discovery of the functional properties of linguistic units and their separation on the basis of linguistic facts is one of thetasks that modern linguistics is waiting for a solution. Text Linguistics, which deals with the creation, modeling of its structure and the study of the process of such activity, is of interest to journalists today as a science.

scholarly journals Linguistic structures and functions of thesis and dissertation titles in Dentistry

2020 ◽  
Vol 65 (1) ◽  
pp. 49-73 ◽  
Author(s):  
Oscar Alberto Morales ◽  
Bexi Perdomo ◽  
Daniel Cassany ◽  
Rosa María Tovar ◽  
Élix Izarra
Keyword(s):  
Single Unit ◽  
English Language ◽  
Genre Studies ◽  
Linguistic Features ◽  
Distinctive Features ◽  
Syntactic Structures ◽  
Nominal Phrase ◽  
Research Students ◽  
Linguistic Structures ◽  
Grammatical Structures

AbstractTitles play an important role in genre analysis. Cross-genre studies show that research paper and thesis titles have distinctive features. However, thesis and dissertation titles in the field of dentistry have thus far received little attention. Objective: To analyze the syntactic structures and their functions in English-language thesis and dissertation titles in dentistry. Methodology: We randomly chose 413 titles of English-language dentistry theses or dissertations presented at universities in 12 countries between January 2000 and June 2019. The resulting corpus of 5,540 running words was then analyzed both qualitatively and quantitatively, the two complementary focuses being grammatical structures and their functions. Results: The average title length was 13.4 words. Over half of the titles did not include any punctuation marks. For compound titles, we found that colons, dashes, commas, and question marks were used to separate the different components, colons being the most frequent. Four syntactic structures (nominal phrase, gerund phrase, full-sentence, and prepositional phrase) were identified for single-unit titles. Single-unit nominal phrase titles constituted the most frequent structure in the corpus, followed by compound titles. Four particular rhetorical combinations of compound title components were found to be present throughout the corpus. Conclusions: Titles of dentistry theses and dissertation in English echo the content of the text body and make an important contribution to fulfilling the text’s communicative purposes. Thus, teaching research students about the linguistic features of thesis titles would be beneficial to help them write effective titles and also facilitate assessment by teachers.

Conflicting Discourses

2012 ◽  
Vol 44 (3) ◽  
pp. 300-338 ◽  
Author(s):  
Kathryn Ciechanowski
Keyword(s):  
Social Studies ◽  
English Language ◽  
Literacy Practices ◽  
Language Learner ◽  
Discursive Practice ◽  
Bilingual Students ◽  
Linguistic Features ◽  
Dominant Culture ◽  
School Text ◽  
Content Coverage

This article provides micro analysis of one representative incident from a larger qualitative study to examine how third-grade bilingual students and their teacher negotiated academic disciplinary and popular culture discourses in a social studies unit on Jamestown and Pocahontas. Informed by discourse and linguistic analyses, this study explores the competing dominant and nondominant discourses as they intersected and overlapped in the complex literacy practices in this classroom. Ms. Montclair’s instruction was shaped by the textbook’s approach to social studies and accountability pressures of testing and content coverage. Yet the students drew from everyday popular resources in their thinking, taking up nonacademic discourses to understand content. This research explores the following questions: (a) What are the predominant discourses evident in the official curricular text and teacher’s enactment of it? (b) What are the discourses evident in children’s everyday resources drawn on to make sense of the school text? (c) How do specific linguistic features make possible these discourses and perspectives? Findings demonstrate that students navigated across multiple discourses that were different but represented dominant culture. As discourses intersected in class, participants provided a level of critical analyses but did not deeply take up nondominant perspectives despite their own positioning from linguistically and culturally nondominant backgrounds. By showing the complexity of literate and discursive practice, this article contributes to understandings of how bilingual and English language learner students confront the demands of academic disciplinary language, draw on their own resources to make sense of content, and require explicit instruction on language and social justice.

scholarly journals Enhanced concept-level sentiment analysis system with expanded ontological relations for efficient classification of user reviews

2021 ◽  
Author(s):  
Asad Khattak ◽  
Muhammad Zubair Asghar ◽  
Zain Ishaq ◽  
Waqas Haider Bangyal ◽  
Ibrahim A Hameed
Keyword(s):  
Sentiment Analysis ◽  
User Reviews ◽  
Analysis System
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