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Mining for Opinions Across Domains: A Cross-Language Study
P. 67-74.
Kravchenko A.
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.
Language:
English
Gozuacik N., Sakar C. O., Ozcan S., 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
Moskvina A., Kirina M., Anastasia Gavrilyuk, , 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
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
Smetanin S., 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
Where Is Happily Ever After? A Study of Emotions and Locations in Russian Short Stories of 1900-1930
Moskvina A., Kirina M., , in : Proceedings of Computational Linguistics Conference (CompLing 2023). : [б.и.], 2023.
The paper tackles the problem of the automatic detection of emotions in literary texts using distributional semantics techniques. The experiment was carried out on the material of Russian short stories from the 1900-1930s. We investigated the emotional lexis distribution across different locations in narratives. At first, we calculated the semantic association score between each word ...
Added: December 9, 2023
Porshnev A., Шашкин П. О., , 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
Сейнова А. Р., Социо- и психолингвистические исследования 2023
The article is devoted to measuring the emotional component of Russian small prose of the early XX century. On the basis of a random sample of 70 stories written in 1900-1930, with the help of the Dostoevsky mood analysis library, the manifestation of sentiment in the literary text was analyzed. The stories were divided into ...
Added: December 10, 2023
Fabrykant M., Magun V., Милкова М. А., / SocArXiv. Series SocArXiv "SocArXiv". 2023.
The current study is a content analysis of news comments posted on
the Russian
social
network
VKontakte
to investigate the expression of opinions on
material well
being.
Based on NLP methods, we analyze the main groups of expression, which are
considered in the context of formulating evaluations and appealing to social norms. We
analyze the content of discourse at the micro
level; analyze how attitudes
towards the
topic ...
Added: December 4, 2023
Karpova I. P., Ровбо М. А., 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
Sherstinova T., Moskvina A., Kirina M. et al., В кн. : Корпусная лингвистика - 2023. : [б.и.], 2023.
In the experimental study, the results of three different approaches to the evaluation of the tonality of literary texts are compared: dictionary-based, machine learning, and distributional semantics. The material for analysis was a selection of 210 stories by Russian writers from the first three decades of the 20th century. The research showed that the correlation ...
Added: December 9, 2023
Kolmogorova A., 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
Smetanin S., 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
Kirina M., Человек: образ и сущность. Гуманитарные аспекты 2023
The article focuses on the application of opinion mining techniques to evaluate user experience on the Hyperskill educational platform, using Python, Java, and Kotlin programming projects as the basis of analysis. The study utilizes sentiment analysis and keyword extraction methods to gauge users' attitudes towards the platform, learning process, and topics covered. To achieve this, ...
Added: December 9, 2023
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
Afanasyev D., Fedorova E., Ledyaeva S., 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
Fainshtein E., , 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
Maksim Kopyrin, Naidenova I. N., 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
Sergey Smetanin, 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
Koltsova O., Alexeeva S., Pashakhin S. 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
Kuznetsova Y. A., 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
Shamshurin I., , 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
Rekabsaz N., Lupu M., Baklanov A. 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
Balakina Y. V., Галочкин А. Е., 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