Mining for Opinions Across Domains: A Cross-Language Study
An important task in opinion mining is detecting subjective expressions in texts and distinguishing them from factual information. High lexicon diversity between different domains excludes the possibility of formulating universal rules that would work for any area of knowledge. In this article we suggest a solution for this problem. We define the features that most opinionated sentences share and propose a cross-language classification of subjective expressions, illustrated by examples in Russian, English and Chinese. We also propose an algorithm based on this classification that generates a set of extraction patterns for any domain from a corpus of untagged texts. The corpus requires no additional preparation except for POS-tagging. The effectiveness of the proposed approach is evaluated for English and Russian on collections of approximately 300 000 sentences each, gathered from three different domains: user reviews on movies, headphones and photo cameras.
, , , Expert Systems with Applications 2021 Vol. 183 No. 30 November 2021 P. 1-13
Social media platforms are considered one of the most effective intermediaries for companies to interact with consumers. Social media-based decision support systems for the marketing domain are highly developed, but product development and innovation-oriented studies remain limited. This study offers a novel approach which utilises opinion retrieval theme along with sentiment analysis to support the ...
Added: December 12, 2021
Opinion Mining for Modeling User Experience of Online Education: Sentiment Analysis and Keywords Extraction of Student Reviews
, , , , in : 2022 32nd Conference of Open Innovations Association (FRUCT). : IEEE, 2022. P. 187-195.
The paper discusses the possibilities of applying modern natural language processing technologies of opinion mining to investigate and improve the user experience of online-courses students. We analyzed 27 000 student reviews of projects within the Python programming language course. First, we applied keyword extraction algorithms as a way of semantic compression to receive a generalized ...
Added: December 9, 2022
, , et al., , in : Digital Transformation and Global Society Third International Conference, DTGS 2018, St. Petersburg, Russia, May 30 –June 2, 2018, Revised Selected Papers, Part I. Issue 858.: Cham : Springer, 2018. Ch. 9. P. 113-124.
As well as the most areas of social life, the field of art is now extended to the cyberspace. In this study, we analyze online reviews of Russian art critics with two objectives. On the one hand, we investigate the patterns of the interactions between critics and artists (both contemporary and recognized ones) in the ...
Added: September 16, 2018
, Advances in Intelligent Systems and Computing 2021 No. 3 P. 375-384
The paper presents the classification of Internet-texts in Russian according to their monoamine status. We consider the levels of serotonin, noradrenaline and dopamine supposedly present in the blood of the text producer. The procedure of the non-discrete annotation of emotional tonality was used for the corpora data to identify the verbal markers for low-serotonergic, high-serotonergic, ...
Added: October 30, 2022
, , in : Језици и културе у времену и простору. : Универзитет у Новом Саду, Филозофски факултет, 2019. P. 247-256.
This paper describes the means that express the Engagement system as part of the general evaluation system in Russian and Serbian. The corpus work that is produced on the online comments of the two daily Russian and Serbian newspapers shows that the Engagements system is based on two linguistic domains: evidentiality and nonveridicality. The work ...
Added: December 31, 2022
ВИЗУАЛИЗАЦИЯ ДАННЫХ В ЭМОЦИОНАЛЬНОМ АНАЛИЗЕ РУССКОЯЗЫЧНЫХ ИНТЕРНЕТ-ТЕКСТОВ НА ОСНОВЕ МОДЕЛИ "КУБ ЛЁВХЕЙМА"
, , В кн. : Язык и искусственный интеллект: Сборник статей по итогам конференции «Лингвистический форум 2020: Язык и искусственный интеллект». : Издательский дом ЯСК, 2023. С. 167-181.
In the paper, we discuss the problem of tools supposed to be effective for visualization of data achieved as result of running algorithms for emotional text analysis. We start by overviewing some technics used to visualize data in projects devoted to exploratory data analysis, sentiment-analysis and emotional text analysis. To continue, we suggest two variants ...
Added: October 31, 2023
Pulse of the Nation: Observable Subjective Well-Being in Russia Inferred from Social Network Odnoklassniki
, Mathematics 2022 Vol. 10 No. 16 Article 2947
Policymakers and researchers worldwide are interested in measuring the subjective well-being (SWB) of populations. In recent years, new approaches to measuring SWB have begun to appear, using digital traces as the main source of information, and show potential to overcome the shortcomings of traditional survey-based methods. In this paper, we propose the formal model for ...
Added: August 15, 2022
, , in : XIV International Scientific Conference “INTERAGROMASH 2021". Vol. 1: Precision Agriculture and Agricultural Machinery Industry.: Springer, 2021. P. 475-483.
Due to the e-commerce rapid development during the COVID pandemic, the demand for logistics and its importance is increasing. A satisfied customer can drive e-commerce business forward. As logistical needs become more complex and logistics market becomes more competitive, service companies must strive to continually improve their value proposition to maintain their competitive edge. This ...
Added: November 1, 2021
, , in : Advances in Computational Intelligence. 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, San Luis Potosi, Mexico, October 27 - November 4, 2012, Proceedings. * II: Lecture Notes in Artificial Intelligence.: Heidelberg : Springer, 2012. P. 58-68.
In this paper, we consider opinion word extraction, one of the key problems in sentiment analysis. Sentiment analysis (or opinion mining) is an important research area within computational linguistics. Opinion words, which form an opinion lexicon, describe the attitude of the author towards certain opinion targets, i.e., entities and their attributes on which opinions have ...
Added: December 18, 2012
, , et al., , in : Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). : [б.и.], 2017. P. 1712-1721.
Volatility prediction—an essential concept in financial markets—has recently been addressed using sentiment analysis methods. We investigate the sentiment of annual disclosures of companies in stock markets to forecast volatility. We specifically explore the use of recent Information Retrieval (IR) term weighting models that are effectively extended by related terms using word embeddings. In parallel to ...
Added: July 17, 2019
, , , in : Supplementary Proceedings of the 4th International Conference on Analysis of Images, Social Networks and Texts (AIST'2015). Issue 1452.: Aachen : CEUR Workshop Proceedings, 2015. P. 126-136.
Posts published on the Internet could serve as a valuable source of information regarding emotion. Recommendation systems, stock market forecast and other areas are likely to benefit from the advancement in mood classification. To deal with this task, researchers commonly rely on preassembled lexicons of emotional words. In this paper we discuss the possibility of extracting ...
Added: February 18, 2016
Cham : Springer, 2020
This book focuses on the core areas of computing and their applications in the real world. Presenting papers from the Computing Conference 2020 covers a diverse range of research areas, describing various detailed techniques that have been developed and implemented. The Computing Conference 2020, which provided a venue for academic and industry practitioners to share new ...
Added: July 7, 2020
, , et al., , in : Artificial Intelligence and Natural Language. AINL 2020. Communications in Computer and Information Science. Book 1292: Communications in Computer and Information Science.: Springer, 2020. P. 1-16.
We present a freely available Russian language sentiment lexicon PolSentiLex designed to detect sentiment in user-generated content related to social and political issues. The lexicon was generated from a database of posts and comments of the top 2,000 LiveJournal bloggers posted during one year (~1.5 million posts and 20 million comments). Following a topic modeling ...
Added: September 22, 2020
The Applications of Sentiment Analysis for Russian Language Texts: Current Challenges and Future Perspectives
, IEEE Access 2020 Vol. 8 P. 110693-110719
Sentiment analysis has become a powerful tool in processing and analysing expressed opinions on a large scale. While the application of sentiment analysis on English-language content has been widely examined, the applications on the Russian language remains not as well-studied. In this survey, we comprehensively reviewed the applications of sentiment analysis of Russian-language content and ...
Added: June 24, 2020
, , , Journal of Economic Behavior and Organization 2021 Vol. 184 P. 353-377
We empirically test if the US President Donald Trump's rhetoric towards Russia (represented by his Russia-related tweets) affects ruble's exchange rate. Using three-stepped empirical framework, we find that escalation of negative sentiment of Trump's Russia-related tweets leads to ruble's depreciation (4–10%) in short-term periods (around 3 days). Though these episodes tend to coincide with imposition or announcement ...
Added: November 29, 2021
, , Journal of Corporate Finance Research 2021 Vol. 15 No. 2 P. 5-15
Information about companies published in a news feed is invariably tinted by emotional tonality. As such, resulting perceptions may influence the opinion of market players, and consequently affect the dynamics of a company’s share price. This study aims to evaluate various hypotheses about the impact of the tone of news items regarding dividends, capital expenditures, and development on ...
Added: June 16, 2021
, , Вестник Пермского университета. Серия: Политология 2020 № 4 С. 115-126
The present comparative study focuses on the British anti-migrant media discourse of two key periods of migration policy - before and after Brexit. The methodological basis of the work constituted the theory of social actors of van Leuven (2008), the conceptual opposition “us” and “them” by T. van Dijk (1989), and the agenda-setting theory of M. McCombs and ...
Added: December 23, 2020
, , В кн. : Шестнадцатая национальная конференция по искусственному интеллекту с международным участием КИИ-2018 (24-27 сентября 2018 г., г. Москва, Россия). Труды конференции. В 2-х томах. Т. 1.: М. : РКП, 2018. С. 116-123.
The paper considers the problem of controlling a robot using a voice interface with speech recognition and analysis of the resulting set of words. The proposed method of command recognition is based on a dictionary of commands and special modifier words that are used for sentiment analysis of the command phrase and determining the priority ...
Added: September 28, 2018
, Expert Systems with Applications: X 2023
The growing activity of companies on the Internet and popularity of social networks promote text message generation, containing people’s feedback on products and services. It seems obvious that such sources of unstructured big data being analysed can give additional competitive advantages to a company. Although there are many attempts to cope with this unstructured, messy ...
Added: March 30, 2023
Оценка эффективности анализа тональности текстов на русском языке с использованием Google Cloud Prediction API
, Алгоритмы, методы и системы обработки данных 2017 № 2(36) С. 121-128
В статье оценивается эффективность использования API облачного сервиса Google Cloud Prediction для решения задачи анализа тональности русскоязычных текстов. Проведен эксперимент по обучению модели на различных наборах данных, который направлен на исследование эффективности использования Prediction API и сравнение с существующими базовыми алгоритмами. Результаты эксперимента продемонстрировали высокие показатели качества работы Prediction API. ...
Added: November 23, 2018
, , , Контуры глобальных трансформаций: политика, экономика, право 2020 Т. 13 № 4 С. 292-310
Обострение политической обстановки, которая свойственна текущей стадии развития международных отношений, сопровождается масштабной информационной войной. Проблема освещения положения России в международной прессе с негативной точки зрения обсуждается с начала 2000-х годов. Российско-украинский конфликт, который начался в конце 2013 - начале 2014 годов, заставил иностранные средства массовой информации вновь обратить внимание на Россию и спровоцировал увеличение количества ...
Added: October 29, 2020
Язык и искусственный интеллект: Сборник статей по итогам конференции «Лингвистический форум 2020: Язык и искусственный интеллект»
Издательский дом ЯСК, 2023
The collection presents articles by participants of the "Linguistic Forum 2020: Language and Artificial Intelligence" (conference, November 2020, RAS), reflecting general and specific problems of scientific research in the field of linguistics and computer technologies. The authors of the published articles offer solutions to special issues against the background of larger-scale objects of scientific heuristics ...
Added: October 31, 2023
, , , , in : Computational Linguistics and Intelligent Text Processing. 16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings, Part II. Vol. 9042.: Berlin : Springer, 2015. P. 126-139.
We formulate the problem of text integrity assessment as learning thediscourse structure of text given the dataset of texts with high integrity and lowintegrity. We use two approaches to formalizing the discourse structures, sentimentprofile and rhetoric structures, relying on sentence-level sentiment classifierand rhetoric structure parsers respectively. To learn discourse structures, weuse the graph-based nearest neighbor ...
Added: November 7, 2015