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Some experiments on modeling stock market behavior using investor sentiment analysis and posting volume from twitter

Oliveira, Nuno; Cortez, Paulo; Areal, Nelson
Fonte: ACM Publicador: ACM
Tipo: Conferência ou Objeto de Conferência
Publicado em //2013 ENG
Relevância na Pesquisa
27.13%
The analysis of microblogging data related with stock mar- kets can reveal relevant new signals of investor sentiment and attention. It may also provide sentiment and attention indicators in a more rapid and cost-effective manner than other sources. In this study, we created several indicators using Twitter data and investigated their value when model- ing relevant stock market variables, namely returns, trading volume and volatility. We collected recent data from nine ma jor technological companies. Several sentiment analy- sis methods were explored, by comparing 5 popular lexical resources and two novel lexicons (emoticon based and the merge of all 6 lexicons) and sentiment indicators produced using two strategies (based on daily words and individual tweet classifications). Also, we measured posting volume associated with tweets related to the analyzed companies. While a short time period is considered (32 days), we found scarce evidence that sentiment indicators can explain these stock returns. However, interesting results were obtained when measuring the value of using posting volume for fit- ting trading volume and, in particular, volatility.; This work is funded by FEDER, through the program COM- PETE and the Portuguese Foundation for Science and Technology (FCT)...

Mining microblogging data to model and forecast stock market behavior; Análise de dados de microblogs para modelar e prever o comportamento do mercado de ações

Oliveira, Nuno Miguel da Rocha
Fonte: Universidade do Minho Publicador: Universidade do Minho
Tipo: Dissertação de Mestrado
Publicado em //2013 ENG
Relevância na Pesquisa
27.84%
Dissertação de mestrado em Information Systems Engineering and Management; The analysis of microblogging data may disclose relevant signals of investor sentiment and attention that can be useful to model and predict stock market variables (Bollen, Mao, & Zeng, 2011; Mao, Counts, & Bollen, 2011; Oh & Sheng, 2011; Sprenger & Welpe, 2010). Moreover, microblogging data can provide sentiment and attention indicators in a more rapid and cost-effective manner than traditional sources (e.g., large scale surveys). In this project, we assessed the information content of microblogging data for explaining stock market variables. We created several indicators using Twitter data from nine major technological companies and analyzed their value when modeling returns, trading volume and volatility. Sentiment indicators were produced by exploring 5 popular lexical resources and two novel lexicons (emoticon based and the merge of all 6 lexicons) while attention indicators were based on the posting volume. Despite the short period analyzed (32 days), interesting results were obtained when measuring the value of using posting volume for fitting trading volume and volatility. However, we found scarce evidence that sentiment indicators can explain stock returns.; A análise de dados de microblogging pode revelar sinais relevantes do sentimento e atenção do investidor que podem ser úteis para modelar e prever variáveis do mercado de ações (Bollen et al....

Redes sociais no Twitter

Amaral, Inês de Oliveira Castilho e Albuquerque; Sousa, Helena
Fonte: Obciber Publicador: Obciber
Tipo: Conferência ou Objeto de Conferência
Publicado em //2010 POR
Relevância na Pesquisa
27.13%
No presente artigo defendemos uma mudança para um paradigma da comunicação orientado para a sociabilização, baseado em plataformas de software social e conteúdo criado pelo utilizador comum. Pretendemos reflectir sobre o panorama das redes sociais na Internet e dos seus suportes, equacionando a emergência de uma nova sociabilidade. Assumindo que a nova sociedade tem por base a exclusão do determinismo territorial e pode operacionalizar (nas sociedades ditas “info-incluídas”) uma divisão social e cultural de indivíduos, a proposta que apresentamos pretende contribuir para um quadro teórico com reflexões sobre a emergência de uma nova sociabilidade desterritorializada, assente num modelo de comunicação que está em permanente mutação, transformou o conceito de utilizador em “Consumer 2.0” e criou a possibilidade do receptor ser agora produtor para uma audiência global – estaremos no início da era dos “prosumers” em larga escala? A nossa hipótese de trabalho é a de que os ambientes em rede (com base na inteligência colectiva e na acção social) promovem um novo tipo de cidadania e, consequentemente, novas relações e práticas sociais. A proposta é, recorrendo à análise de redes sociais, estudar mapas de conversações (baseadas no conteúdo e nas interacções entre utilizadores) no serviço de microblogging Twitter através de hashtags (palavras-chave) relacionadas com acontecimentos de escala mundial e desenhar redes sociais baseadas em "folksonomy" (“social tagging”)...

Automatic creation of stock market lexicons for sentiment analysis using StockTwits data

Oliveira, Nuno; Cortez, Paulo; Areal, Nelson
Fonte: ACM Publicador: ACM
Tipo: Conferência ou Objeto de Conferência
Publicado em //2014 ENG
Relevância na Pesquisa
27.43%
Sentiment analysis has been increasingly applied to the stock market domain. In particular, investor sentiment indicators can be used to model and predict stock market variables. In this context, the quality of the sentiment analysis is highly dependent of the opinion lexicon adopted. However, there is a lack of lexicons adjusted to microblogging stock market data. In this work, we propose an automatic procedure for the creation of such lexicon by exploring a large set of labeled messages from StockTwits, a popular financial microblogging service, and using four statistical measures: adaptations of the known TF-IDF, Information Gain, Class Percentage, and a newly proposed Weighted Class Probability. The obtained lexicons are competitive when compared with a set of six reference lexicons. Moreover, we verified that it is beneficial to use continuous sentiment scores instead of sentiment labels.

Social networks, microblogging, virtual worlds, and Web 2.0 in the teaching of programing techniques for software engineering: a trial combining collaboration and social interaction beyond college

Morgado, Leonel; Fonseca, Benjamim; Martins, Paulo; Paredes, Hugo; Cruz, Gonçalo; Maia, Ana Margarida; Nunes, Ricardo; Santos, Arnaldo
Fonte: IEEE Publicador: IEEE
Tipo: Artigo de Revista Científica
ENG
Relevância na Pesquisa
27.13%

Enterprise Social Networking

Laan, Arjan Van Der
Fonte: Universidade Nova de Lisboa Publicador: Universidade Nova de Lisboa
Tipo: Dissertação de Mestrado
Publicado em 15/11/2013 ENG
Relevância na Pesquisa
27.96%
Microblogging in the workplace as a functionality of Enterprise Social Networking (ESN) platforms is a relatively new phenomenon of which the use in knowledge work has not yet received much attention from research. In this cross-sectional study, I attempt to shed light on the role of microblogging in knowledge work. I identify microblogging use practices of knowledge workers on ESN platforms, and I identify its role in supporting knowledge work performance. A questionnaire is carried out among a non-representative sample of knowledge workers. The results shed light on the purposes of the microblogging messages that knowledge workers write. It also helps us find out whether microblogging supports them in performing their work. The survey is based on existing theory that supplied me with possible microblog purposes as well as theory on what the actions of knowledge workers are. The results reveal that “knowledge & news sharing”, “crowd sourcing”, “socializing & networking” and “discussion & opinion” are frequent microblog purposes. The study furthermore shows that microblogging benefits knowledge workers’ work. Microblogging seems to be a worthy addition to the existing means of communication in the workplace, and is especially useful to let knowledge...

The Twitter of Babel: Mapping World Languages through Microblogging Platforms

Mocanu, Delia; Baronchelli, Andrea; Perra, Nicola; Gonçalves, Bruno; Zhang, Qian; Vespignani, Alessandro
Fonte: Public Library of Science Publicador: Public Library of Science
Tipo: Artigo de Revista Científica
Publicado em 18/04/2013 EN
Relevância na Pesquisa
27.13%
Large scale analysis and statistics of socio-technical systems that just a few short years ago would have required the use of consistent economic and human resources can nowadays be conveniently performed by mining the enormous amount of digital data produced by human activities. Although a characterization of several aspects of our societies is emerging from the data revolution, a number of questions concerning the reliability and the biases inherent to the big data “proxies” of social life are still open. Here, we survey worldwide linguistic indicators and trends through the analysis of a large-scale dataset of microblogging posts. We show that available data allow for the study of language geography at scales ranging from country-level aggregation to specific city neighborhoods. The high resolution and coverage of the data allows us to investigate different indicators such as the linguistic homogeneity of different countries, the touristic seasonal patterns within countries and the geographical distribution of different languages in multilingual regions. This work highlights the potential of geolocalized studies of open data sources to improve current analysis and develop indicators for major social phenomena in specific communities.

Cumulative Effect in Information Diffusion: Empirical Study on a Microblogging Network

Bao, Peng; Shen, Hua-Wei; Chen, Wei; Cheng, Xue-Qi
Fonte: Public Library of Science Publicador: Public Library of Science
Tipo: Artigo de Revista Científica
Publicado em 01/10/2013 EN
Relevância na Pesquisa
27.13%
Cumulative effect in social contagion underlies many studies on the spread of innovation, behavior, and influence. However, few large-scale empirical studies are conducted to validate the existence of cumulative effect in information diffusion on social networks. In this paper, using the population-scale dataset from the largest Chinese microblogging website, we conduct a comprehensive study on the cumulative effect in information diffusion. We base our study on the diffusion network of message, where nodes are the involved users and links characterize forwarding relationship among them. We find that multiple exposures to the same message indeed increase the possibility of forwarding it. However, additional exposures cannot further improve the chance of forwarding when the number of exposures crosses its peak at two. This finding questions the cumulative effect hypothesis in information diffusion. Furthermore, to clarify the forwarding preference among users, we investigate both structural motif in the diffusion network and temporal pattern in information diffusion process. Findings provide some insights for understanding the variation of message popularity and explain the characteristics of diffusion network.

A Prerecognition Model for Hot Topic Discovery Based on Microblogging Data

Zhu, Tongyu; Yu, Jianjun
Fonte: Hindawi Publishing Corporation Publicador: Hindawi Publishing Corporation
Tipo: Artigo de Revista Científica
EN
Relevância na Pesquisa
27.62%
The microblogging is prevailing since its easy and anonymous information sharing at Internet, which also brings the issue of dispersing negative topics, or even rumors. Many researchers have focused on how to find and trace emerging topics for analysis. When adopting topic detection and tracking techniques to find hot topics with streamed microblogging data, it will meet obstacles like streamed microblogging data clustering, topic hotness definition, and emerging hot topic discovery. This paper schemes a novel prerecognition model for hot topic discovery. In this model, the concepts of the topic life cycle, the hot velocity, and the hot acceleration are promoted to calculate the change of topic hotness, which aims to discover those emerging hot topics before they boost and break out. Our experiments show that this new model would help to discover potential hot topics efficiently and achieve considerable performance.

Microblogging in open source software development:the case of Drupal using Twitter

Wang, Xiaofeng; Kuzmickaja, Iiona; Stol, Klaas-Jan; Abrahamsson, Pekka; Fitzgerald, Brian
Fonte: IEEE Computer Society Publicador: IEEE Computer Society
Tipo: info:eu-repo/semantics/article; all_ul_research; ul_published_reviewed
ENG
Relevância na Pesquisa
37.74%
peer-reviewed; Microblogging is one of the popular forms of social media that has quickly permeated both enterprise and open source communities. However, how exactly open source communities can leverage microblogging is not yet well understood. We investigate how Drupal’s open source community uses Twitter, a household-name in microblogging. Our analysis of group and individual accounts of Drupal developers reveals that they take on similar but distinct roles. Both serve as communicators of essential links to a vast and growing community knowledge base, such as work artifacts, issues, documentation, and blog posts. Community members often express positive emotions when tweeting about work, which reinforces a sense of community. Finally, Twitter is also used as a crowdsourcing channel to solicit contributions.

Microblogging con Edmodo para el desarrollo de las competencias básicas del alumnado de enseñanza secundaria. Un estudio de caso

Vázquez Cano, Esteban
Fonte: Universidad de Murcia Publicador: Universidad de Murcia
Tipo: Artigo de Revista Científica Formato: application/pdf
SPA
Relevância na Pesquisa
27.43%
Este artículo presenta los resultados de una investigación realizada en un centro educativo de la provincia de Toledo (España) sobre la incidencia de actividades con base en el microblogging escolar mediante el uso de la red social gratuita “Edmodo” en el desarrollo de dos competencias básicas: lingüística, digital y de tratamiento de la información, en el segundo curso de Enseñanza Secundaria Obligatoria. La actividad lingüístico-digital basada en la colaboración, participación e interactividad del alumnado y profesorado mediante mensajes cortos en redes sociales es un recurso esencial para la conformación social y lingüística del estudiante de enseñanza secundaria en el mundo virtual y ayuda de forma inestimable al desarrollo transversal e interdisciplinar de las competencias básicas. Formar al alumnado en el acceso a herramientas virtuales de estructuración de la información, le posiciona con la competencia necesaria para afrontar el contexto socio-tecnológico actual; donde el conocimiento se adquiere por la posibilidad no sólo de leer y estar Microblogging con Edmodo para el desarrollo de las competencias básicas del alumnado de enseñanza secundaria. Un estudio de caso

Web 2.0: blogs, redes sociales y microblogging en las empresas de telefonía móvil en España; Web 2.0: blogs, social networking and microblogging on mobile phone companies in Spain

Garay Peredo, Melisa
Fonte: Universidade de Cantabria Publicador: Universidade de Cantabria
Tipo: Dissertação de Mestrado
SPA
Relevância na Pesquisa
37.91%
RESUMEN: Tras las evoluciones sufridas por la Web, emerge la Web 2.0 y aparecen herramientas sociales que posteriormente son implementadas por las empresas. Se estudiarán tres de las aplicaciones de Social Media más utilizadas como son los Blogs, las Redes Sociales y el Microblogging mediante un estudio sobre las estructuras de cada una de ellas, los tipos y la utilización por parte de las empresas. Tras realizar el estudio teórico se observarán los Blogs, las Redes Sociales (Tuenti y Facebook) y el Microblogging (Twitter) de las principales empresas de telefonía móvil es España (Movistar, Vodafone, Orange, Yoigo y Simyo). Una vez observadas las herramientas que posee cada empresa, se analizará si éstas son usadas correctamente siguiendo unos factores previamente establecidos. De este modo, se extraerán conclusiones sobre su utilización. Se analizarán las limitaciones surgidas a lo largo de la realización del estudio de dichas herramientas y se estudiará las futuras líneas de desarrollo.; ABSTRACT: After the evolutions suffered by the web, the Web 2.0 emerges and appear the social tools that later are implemented by the companies. There will be studied the three more used Social Media applications like the Blogs...

Combining Machine Learning Techniques and Natural Language Processing to Infer Emotions Using Spanish Twitter Corpus

Blázquez Gil, Gonzalo; Berlanga, Antonio; Molina, José M.
Fonte: Springer Publicador: Springer
Tipo: info:eu-repo/semantics/acceptedVersion; info:eu-repo/semantics/conferenceObject; info:eu-repo/semantics/bookPart
Publicado em //2013 ENG
Relevância na Pesquisa
27.13%
In the recent years, microblogging services, as Twitter, have become a popular tool for expressing feelings, opinions, broadcasting news, and communicating with friends. Twitter users produced more than 340 million tweets per day which may be consider a rich source of user information. We take a supervised approach to the problem, but leverage existing hashtags in Twitter for building our training data. Finally, we tested the Spanish emotional corpus applying two different machine learning algorithms for emotion identification reaching about 65% accuracy.; This work was supported in part by Projects MEyC TEC2012-37832-C02-01, MEyC TEC2011-28626-C02-02 and CAM CONTEXTS (S2009/TIC-1485); Proceedings of: 11th Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 13). Salamanca, Spain, May 22-24, 2013.

The use of microblogging for field-based scientific research

Pepe, Alberto; Mayernik, Matthew S.
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 08/09/2011
Relevância na Pesquisa
27.74%
Documenting the context in which data are collected is an integral part of the scientific research lifecycle. In field-based research, contextual information provides a detailed description of scientific practices and thus enables data interpretation and reuse. For field data, losing contextual information often means losing the data altogether. Yet, documenting the context of distributed, collaborative, field-based research can be a significant challenge due to the unpredictable nature of real-world settings and to the high degree of variability in data collection methods and scientific practices of different researchers. In this article, we propose the use of microblogging as a mechanism to support collection, ingestion, and publication of contextual information about the variegated digital artifacts that are produced in field research. We perform interviews with scholars involved in field-based environmental and urban sensing research, to determine the extent of adoption of Twitter and similar microblogging platforms and their potential use for field-specific research applications. Based on the results of these interviews as well as participant observation of field activities, we present the design, development, and pilot evaluation of a microblogging application integrated with an existing data collection platform on a handheld device. We investigate whether microblogging accommodates the variable and unpredictable nature of highly mobile research and whether it represents a suitable mechanism to document the context of field research data early in the scientific information lifecycle.; Comment: Proceedings of the 45th Hawaii International Conference on System Science (HICSS-45 2012)

What is the Nature of Chinese MicroBlogging: Unveiling the Unique Features of Tencent Weibo

Li, Daifeng; Zhang, Jingwei; Sun, Gordon Guo-zheng; Tang, Jie; Ding, Ying; Luo, Zhipeng
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Relevância na Pesquisa
27.43%
China has the largest number of online users in the world and about 20% internet users are from China. This is a huge, as well as a mysterious, market for IT industry due to various reasons such as culture difference. Twitter is the largest microblogging service in the world and Tencent Weibo is one of the largest microblogging services in China. Employ the two data sets as a source in our study, we try to unveil the unique behaviors of Chinese users. We have collected the entire Tencent Weibo from 10th, Oct, 2011 to 5th, Jan, 2012 and obtained 320 million user profiles, 5.15 billion user actions. We study Tencent Weibo from both macro and micro levels. From the macro level, Tencent users are more active on forwarding messages, but with less reciprocal relationships than Twitter users, their topic preferences are very different from Twitter users from both content and time consuming; besides, information can be diffused more efficient in Tencent Weibo. From the micro level, we mainly evaluate users' social influence from two indexes: "Forward" and \Follower", we study how users' actions will contribute to their social influences, and further identify unique features of Tencent users. According to our studies, Tencent users' actions are more personalized and diversity...

Classifying and Ranking Microblogging Hashtags with News Categories

Song, Shuangyong; Meng, Yao
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 04/05/2015
Relevância na Pesquisa
27.43%
In microblogging, hashtags are used to be topical markers, and they are adopted by users that contribute similar content or express a related idea. However, hashtags are created in a free style and there is no domain category information about them, which make users hard to get access to organized hashtag presentation. In this paper, we propose an approach that classifies hashtags with news categories, and then carry out a domain-sensitive popularity ranking to get hot hashtags in each domain. The proposed approach first trains a domain classification model with news content and news category information, then detects microblogs related to a hashtag to be its representative text, based on which we can classify this hashtag with a domain. Finally, we calculate the domain-sensitive popularity of each hashtag with multiple factors, to get most hotly discussed hashtags in each domain. Preliminary experimental results on a dataset from Sina Weibo, one of the largest Chinese microblogging websites, show usefulness of the proposed approach on describing hashtags.; Comment: 2 pages, no figure, to be appeared on RCIS 2015

MAP: Microblogging Assisted Profiling of TV Shows

Lin, Xiahong; Wang, Zhi; Sun, Lifeng
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 10/02/2015
Relevância na Pesquisa
27.91%
Online microblogging services that have been increasingly used by people to share and exchange information, have emerged as a promising way to profiling multimedia contents, in a sense to provide users a socialized abstraction and understanding of these contents. In this paper, we propose a microblogging profiling framework, to provide a social demonstration of TV shows. Challenges for this study lie in two folds: First, TV shows are generally offline, i.e., most of them are not originally from the Internet, and we need to create a connection between these TV shows with online microblogging services; Second, contents in a microblogging service are extremely noisy for video profiling, and we need to strategically retrieve the most related information for the TV show profiling.To address these challenges, we propose a MAP, a microblogging-assisted profiling framework, with contributions as follows: i) We propose a joint user and content retrieval scheme, which uses information about both actors and topics of a TV show to retrieve related microblogs; ii) We propose a social-aware profiling strategy, which profiles a video according to not only its content, but also the social relationship of its microblogging users and its propagation in the social network; iii) We present some interesting analysis...

Detecting Concept-level Emotion Cause in Microblogging

Song, Shuangyong; Meng, Yao
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 29/04/2015
Relevância na Pesquisa
27.43%
In this paper, we propose a Concept-level Emotion Cause Model (CECM), instead of the mere word-level models, to discover causes of microblogging users' diversified emotions on specific hot event. A modified topic-supervised biterm topic model is utilized in CECM to detect emotion topics' in event-related tweets, and then context-sensitive topical PageRank is utilized to detect meaningful multiword expressions as emotion causes. Experimental results on a dataset from Sina Weibo, one of the largest microblogging websites in China, show CECM can better detect emotion causes than baseline methods.; Comment: 2 pages, 2 figures, to appear on WWW 2015

twister - a P2P microblogging platform

Freitas, Miguel
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 26/12/2013
Relevância na Pesquisa
27.43%
This paper proposes a new microblogging architecture based on peer-to-peer networks overlays. The proposed platform is comprised of three mostly independent overlay networks. The first provides distributed user registration and authentication and is based on the Bitcoin protocol. The second one is a Distributed Hash Table (DHT) overlay network providing key/value storage for user resources and tracker location for the third network. The last network is a collection of possibly disjoint "swarms" of followers, based on the Bittorrent protocol, which can be used for efficient near-instant notification delivery to many users. By leveraging from existing and proven technologies, twister provides a new microblogging platform offering security, scalability and privacy features. A mechanism provides incentive for entities that contribute processing time to run the user registration network, rewarding such entities with the privilege of sending a single unsolicited ("promoted") message to the entire network. The number of unsolicited messages per day is defined in order to not upset users.

#h00t: Censorship Resistant Microblogging

Bachrach, Dustin; Nunu, Christopher; Wallach, Dan S.; Wright, Matthew
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 30/09/2011
Relevância na Pesquisa
27.62%
Microblogging services such as Twitter are an increasingly important way to communicate, both for individuals and for groups through the use of hashtags that denote topics of conversation. However, groups can be easily blocked from communicating through blocking of posts with the given hashtags. We propose #h00t, a system for censorship resistant microblogging. #h00t presents an interface that is much like Twitter, except that hashtags are replaced with very short hashes (e.g., 24 bits) of the group identifier. Naturally, with such short hashes, hashtags from different groups may collide and #h00t users will actually seek to create collisions. By encrypting all posts with keys derived from the group identifiers, #h00t client software can filter out other groups' posts while making such filtering difficult for the adversary. In essence, by leveraging collisions, groups can tunnel their posts in other groups' posts. A censor could not block a given group without also blocking the other groups with colliding hashtags. We evaluate the feasibility of #h00t through traces collected from Twitter, showing that a single modern computer has enough computational throughput to encrypt every tweet sent through Twitter in real time. We also use these traces to analyze the bandwidth and anonymity tradeoffs that would come with different variations on how group identifiers are encoded and hashtags are selected to purposefully collide with one another.; Comment: 10 pages...