Modelling movement of stock market indexes with data from emoticons of Twitter users
Ch. 10. P. 297-306.
Porshnev A., Редькин И. Е., Karpov N.
The issue of using Twitter data to increase the prediction rate of stock price movements draws attention of many researchers. In this paper we examine the possibility of analyzing Twitter users’ emoticons to improve accuracy of predictions for DJIA and S&P500 stock market indices. We analyzed 1.6 billion tweets downloaded from February 13, 2013 to May 19, 2014. As a forecasting technique, we tested the Support Vector Machine (SVM), Neural Networks and Random Forest, which are commonly used for prediction tasks in finance analytics. The results of applying machine learning techniques to stock market price prediction are discussed.
Information Retrieval. 8th Russian Summer School, RuSSIR 2014, Nizhniy, Novgorod, Russia, August 18-22, 2014, Revised Selected Papers
Vol. 505. , Switzerland : Springer, 2015
, , , in : Analysis of Images, Social Networks and Texts. Vol. 436: 3rd International Conference on Analysis of Images, Social networks, and Texts.: NY : Springer, 2014. Ch. 19. P. 190-197.
The question about possibilities to use Twitter users’ moods to increase accuracy of stock price movement prediction draws attention of many researchers. In this paper we examine the possibility of analyzing Twitter users’ mood to improve accuracy of predictions for Gold and Silver stock market prices. We used a lexicon-based approach to categorize the mood ...
Added: November 21, 2014
Machine learning in prediction of stock market indicators based on historical data and data from Twitter sentiment analysis.
, , , , in : 2013 IEEE 13th International Conference on Data Mining Workshops. : Los Alamitos : IEEE Computer Society, 2013. Ch. 9.3. P. 440-444.
Development of linguistic technologies and penetration of social media provide powerful possibilities to investigate users’ moods and psychological states of people. In this paper we discussed possibility to improve accuracy of stock market indicators predictions by using data about psychological states of Twitter users. For analysis of psychological states we used lexicon-based approach, which allow ...
Added: February 20, 2014
Cham : Springer, 2019
Intelligent Systems Conference (IntelliSys) 2018 is the fourth research conference in the series. This conference is a part of SAI conferences being held since 2013. The conference series has featured keynote talks, special sessions, poster presentation, tutorials, workshops, and contributed papers each year. The conference focus on areas of intelligent systems and artificial intelligence (AI) and ...
Added: August 29, 2018
This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019. The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named: Part I: best ranked papers; machine learning; pattern recognition; ...
Added: September 23, 2019
About neural-network algorithms application in viseme classification problem with face video in audiovisual speech recognition systems
, , Optical Memory and Neural Networks (Information Optics) 2014 Vol. 23 No. 1 P. 34-42
The paper considers the phoneme recognition by facial expressions of a speaker in voice-activated control systems. We have developed a neural network recognition algorithm by using the phonetic words decoding method and the requirement for isolated syllable pronunciation of voice commands. The paper presents the experimental results of viseme (facial and lip position corresponding to ...
Added: March 26, 2014
Сентимент частных инвесторов в объяснении различий в биржевых характеристиках акций российского рынка
, , et al., Журнал Новой экономической ассоциации 2022 Т. 1 № 53 С. 53-84
Abstract. In our paper, for the first time, we examine the influence of the sentiment of private investors in social networks on the trade characteristics of stocks in the Russian market. Monthly return rates and trading volumes are analyzed under the control of financial indicators and indicators of the quality of corporate governance of stock ...
Added: April 5, 2022
, , , , in : Proceedings of the Fourth Workshop on Experimental Economics and Machine Learning (EEML 2017), Dresden, Germany, September 17-18, 2017. Vol. 1968.: Aachen : CEUR Workshop Proceedings, 2017. P. 31-40.
Nowadays there is a large amount of demographic data which should be analysed and interpreted. From accumulated demographic data, more useful information can be extracted by applying modern methods of data mining. The aim of this study is to compare the methods of classification of demographic data by customizing the SVM kernels using various similarity ...
Added: December 9, 2017
Improving prediction of stock market indices by analyzing the psychological states of Twitter users.
, , , / Высшая школа экономики. Series WP BRP "Economics/EC". 2013. No. 22.
In our paper, we analyze the possibility of improving the prediction of stock market indicators by conducting a sentiment analysis of Twitter posts. We use a dictionary-based approach for sentiment analysis, which allows us to distinguish eight basic emotions in the tweets of users. We compare the results of applying the Support Vector Machine algorithm ...
Added: December 25, 2013
This book constitutes the proceedings of the 23rd International Symposium on Foundations of Intelligent Systems, ISMIS 2017, held in Warsaw, Poland, in June 2017. The 56 regular and 15 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers include both theoretical and practical aspects of machine learning, data mining ...
Added: September 18, 2017
Artificial Neural Networks in Pattern Recognition. 6th IAPR TC 3 International Workshop, ANNPR 2014, Montreal, QC, Canada, October 6-8, 2014, Proceedings
Switzerland : Springer, 2014
This book constitutes the refereed proceedings of the 6th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2014, held in Montreal, QC, Canada, in October 2014. The 24 revised full papers presented were carefully reviewed and selected from 37 submissions for inclusion in this volume. They cover a large range of ...
Added: September 30, 2014
Proceedings of Analysis of Images, Social Networks and Texts – 7th International Conference, AIST 2018, Moscow, Russia, July 5-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science
Berlin : Springer, 2018
This book constitutes the proceedings of the 7th International Conference on Analysis of Images, Social Networks and Texts, AIST 2018, held in Moscow, Russia, in July 2018. The 29 full papers were carefully reviewed and selected from 107 submissions (of which 26 papers were rejected without being reviewed). The papers are organized in topical sections on ...
Added: September 5, 2018
, Вопросы языкознания 2012 № 1 С. 118-120
Статья представляет собой рецензию на книгу "Mood in the languages of Europe". ...
Added: November 14, 2012
This book constitutes the proceedings of the 19th Russian Conference on Artificial Intelligence, RCAI 2021, held in Moscow, Russia, in October 2021. The 19 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 80 submissions. The conference deals with a wide range of topics, categorized into the following topical ...
Added: October 28, 2021
Spatiotemporal Modeling of Coniferous Forests Dynamics along the Southern Edge of Their Range in the Central Russian Plain
, , et al., Remote Sensing 2021 Vol. 13 No. 10 Article 1886
Forests with predominance of Norway spruce (Picea abies (L.) H. Karst.) and Scots pine (Pinus sylvestris L.) within the hemiboreal zone are considered as secondary communities formed under long-term human activity (logging, plowing, fires and silviculture). This study raises the question—how stable is current state of coniferous forests on the southern border of their natural distribution in ...
Added: March 20, 2022
The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018. The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; ...
Added: October 30, 2018
Artificial Intelligence in Music, Sound, Art and Design: 12th International Conference, EvoMUSART 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings
Cham : Springer, 2023
This book constitutes the refereed proceedings of the 12th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2023, held as part of Evo* 2023, in April 2023, co-located with the Evo* 2023 events, EvoCOP, EvoApplications, and EuroGP. The 20 full papers and 7 short papers presented in this book were carefully reviewed ...
Added: April 4, 2023
European Publisher, 2021
The volume contains selected, peer-reviewed papers from the International Conference on Finance, Entrepreneurship and Technologies in Digital Economy (FETDE 2020), 18-19 June, 2020, St. Petersburg University of Management Technologies and Economics, St. Petersburg, Russia. This content of this volume is driven by and feeds off the current scenario wrought by the massive shutdown of global economic ...
Added: April 15, 2022
, , , , in : 2021 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). : IEEE, 2021. P. 719-723.
Added: July 4, 2021
, , Russian Journal of Linguistics 2021 Vol. 25 No. 1 P. 105-124
The current research answers the question how Twitter users express their evaluation of the topical social problem (explicitly or implicitly) and what linguistic means they use being restricted by the limited length of the message. The article explores how Twitter users socialize with each other and exchange ideas on social issues of great importance, express ...
Added: January 11, 2021
Моделирование урожайности зерновых культур сельскохозяйственных регионов с использованием технологий компьютерного зрения
, Экономика региона 2022 Т. 18 № 2 С. 581-594
The article examines new methodologies for modelling crop yield in agricultural regions of Russia based on the use of remote capabilities to get information on the field state. The proposed approach can be applied to develop indicator systems and create methodological platforms and models necessary to obtain more accurate estimates. In comparison with the traditional ...
Added: January 12, 2023
Методы классификации текстовых данных: можно ли потенциал количественного анализа использовать в качественном исследовании?
, ИНТЕРакция. ИНТЕРвью. ИНТЕРпретация 2021 Т. 13 № 2 С. 81-96
Text mining has developed rapidly in recent years. In this article, we compare classification methods that are suitable for solving problems of predicting item nonresponse. The author builds reasoning about how the analysis of textual data can be implemented in a wider research field based on this material. The author considers a number of metrics ...
Added: August 20, 2021
, , Studies in Computational Intelligence, 2023
The basis of transfer learning methods is the ability of deep neural networks to use knowledge from one domain to learn in another domain. However, another important task is the analysis and explanation of the internal representations of deep neural networks models in the process of transfer learning. Some deep models are known to be ...
Added: October 25, 2023
, , , in : Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers. Communications in Computer and Information Science. Vol. 1086.: Springer, 2020. P. 154-159.
In this paper, a deep learning method study is conducted to solve a new multiclass text classification problem, identifying user interests by text messages. We used an original dataset of almost 90 thousand forum text messages, labeled for ten interests. We experimented with different modern neural network architectures: recurrent and convolutional, as well as simpler ...
Added: November 7, 2019
, Вестник Южно-Уральского государственного университета. Серия: Лингвистика 2015 Т. 12 № 4 С. 56-60
The paper theorizes on the general architectonics of idealized cognitive models (ICMs) and their involvement in metonymy and metaphor. The article posits that an ICM's structure should reflect the architecture of the neural network/s engaged in processing of a given concept. The ICM nodes, or cogs, construct a complex, hierarchically organized neural connections, with the ...
Added: December 8, 2015