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相关论文: Using Twitter to Predict Sales: A Case Study

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We study the power of Twitter events to predict consumer sales events by analysing sales for 75 companies from the retail sector and over 150 million tweets mentioning those companies along with their sentiment. We suggest an approach for…

社会与信息网络 · 计算机科学 2015-08-18 Olga Kolchyna , Th'arsis T. P. Souza , Tomaso Aste , Philip C. Treleaven

Businesses communicate using Twitter for a variety of reasons -- to raise awareness of their brands, to market new products, to respond to community comments, and to connect with their customers and potential customers in a targeted manner.…

社会与信息网络 · 计算机科学 2019-10-29 Renhao Cui , Gagan Agrawal , Rajiv Ramnath

Predictive analysis of social media data has attracted considerable attention from the research community as well as the business world because of the essential and actionable information it can provide. Over the years, extensive…

社会与信息网络 · 计算机科学 2023-09-04 Ugur Kursuncu , Manas Gaur , Usha Lokala , Krishnaprasad Thirunarayan , Amit Sheth , I. Budak Arpinar

This paper presents a financial analysis over Twitter sentiment analytics extracted from listed retail brands. We investigate whether there is statistically-significant information between the Twitter sentiment and volume, and stock returns…

计算机与社会 · 计算机科学 2017-04-03 Thársis Tuani Pinto Souza , Olga Kolchyna , Philip C. Treleaven , Tomaso Aste

A large number of studies on social media compare the behaviour of users from different political parties. As a basic step, they employ a predictive model for inferring their political affiliation. The accuracy of this model can change the…

In recent years, social media has become ubiquitous and important for social networking and content sharing. And yet, the content that is generated from these websites remains largely untapped. In this paper, we demonstrate how social media…

计算机与社会 · 计算机科学 2015-03-13 Sitaram Asur , Bernardo A. Huberman

In this paper, we present computational models to predict Twitter users' attitude towards a specific brand through their personal and social characteristics. We also predict their likelihood to take different actions based on their…

社会与信息网络 · 计算机科学 2017-04-18 Jalal Mahmud , Geli Fei , Anbang Xu , Aditya Pal , Michelle Zhou

We present results of empirical studies on positive speech on Twitter. By positive speech we understand speech that works for the betterment of a given situation, in this case relations between different communities in a conflict-prone…

计算与语言 · 计算机科学 2017-03-01 Marina Sokolova , Vera Sazonova , Kanyi Huang , Rudraneel Chakraboty , Stan Matwin

In the marketing of video games made by self-publishing, independent developers, there is common advice to market a game using the social media platform Twitter. However, the advice that stems from industry sources is somewhat…

社会与信息网络 · 计算机科学 2022-03-28 Nathaniel Francis Golding

Over the past decade humans have experienced exponential growth in the use of online resources, in particular social media and microblogging websites such as Facebook, Twitter, YouTube and also mobile applications such as WhatsApp, Line,…

信息检索 · 计算机科学 2015-09-09 Rishabh Soni , K. James Mathai

Topics in conversations depend in part on the type of interpersonal relationship between speakers, such as friendship, kinship, or romance. Identifying these relationships can provide a rich description of how individuals communicate and…

社会与信息网络 · 计算机科学 2024-04-02 Minje Choi , Ceren Budak , Daniel M. Romero , David Jurgens

We present a study to analyze how word use can predict social engagement behaviors such as replies and retweets in Twitter. We compute psycholinguistic category scores from word usage, and investigate how people with different scores…

社会与信息网络 · 计算机科学 2014-02-27 Jalal Mahmud , Jilin Chen , Jeffrey Nichols

In the last decade, Social Media platforms such as Twitter have gained importance in the various marketing strategies of companies. This work aims to examine the presence of influential content on a textual level, by investigating…

社会与信息网络 · 计算机科学 2022-02-17 Diana C. Hernandez-Bocanegra , Angela Borchert , Felix Brünker , Gautam Kishore Shahi , Björn Ross

Twitter as a new form of social media potentially contains useful information that opens new opportunities for content analysis on tweets. This paper examines the predictive power of Twitter regarding the US presidential election of 2012.…

社会与信息网络 · 计算机科学 2014-07-03 Kazem Jahanbakhsh , Yumi Moon

Predicting stock market movements is a well-known problem of interest. Now-a-days social media is perfectly representing the public sentiment and opinion about current events. Especially, twitter has attracted a lot of attention from…

信息检索 · 计算机科学 2016-10-31 Venkata Sasank Pagolu , Kamal Nayan Reddy Challa , Ganapati Panda , Babita Majhi

In the last couple decades, social network services like Twitter have generated large volumes of data about users and their interests, providing meaningful business intelligence so organizations can better understand and engage their…

计算与语言 · 计算机科学 2017-12-01 Angela Lin

Working adults spend nearly one third of their daily time at their jobs. In this paper, we study job-related social media discourse from a community of users. We use both crowdsourcing and local expertise to train a classifier to detect…

社会与信息网络 · 计算机科学 2015-11-17 Tong Liu , Christopher M. Homan , Cecilia Ovesdotter Alm , Ann Marie White , Megan C. Lytle-Flint , Henry A. Kautz

When evaluating the cause of one's popularity on Twitter, one thing is considered to be the main driver: Many tweets. There is debate about the kind of tweet one should publish, but little beyond tweets. Of particular interest is the…

信息检索 · 计算机科学 2017-05-10 Juergen Mueller , Gerd Stumme

Millions of people express themselves on public social media, such as Twitter. Through their posts, these people may reveal themselves as potentially valuable sources of information. For example, real-time information about an event might…

社会与信息网络 · 计算机科学 2014-04-09 Jalal Mahmud , Michelle Zhou , Nimrod Megiddo , Jeffrey Nichols , Clemens Drews

Twitter has been proven to be a notable source for predictive modelling on various domains such as the stock market, the dissemination of diseases or sports outcomes. However, such a study has not been conducted in football (soccer) so far.…

机器学习 · 统计学 2014-11-06 Stylianos Kampakis , Andreas Adamides
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