A wide body of research uses data from social media websites to predict offline economic outcomes such as sales. However, in practice, such data are costly to collect and process. Additionally, sales forecasts based on social media data may be hampered by people’s tendency to restrict the topics they publicly discuss. Recently, a new source of predictive information—search engine logs—has become available. Interestingly, the relationship between these two important data sources has not been studied. Specifically, do they contain complementary information? Or does the information conveyed by one source render the information conveyed by the other source redundant? This study uses Google’s comprehensive index of internet discussion forums, in...
We investigate whether search statistics from Google can be used to forecast stock returns over diff...
Study of the forecasting models using large scale microblog discussions and the search behavior data...
With the development of internet and information technology, online text data has become available a...
A wide body of research uses data from social media websites to predict offline economic outcomes su...
A large body of research uses data from social media websites to predict offline economic outcomes s...
An increasing fraction of the global discourse is migrating online in the form of blogs, bulletin bo...
Sales forecasting is an essential topic for organizations and accurate forecasts can help to establi...
This article explores the usefulness of sentiment analysis and Google trends data for car sales fore...
Today’s competitive market in the video game industry puts a lot of stress on companies to be ahead ...
In this paper, we propose a novel method for real estate price prediction using web new media sentim...
The goal of this thesis is to assess information contained in internet user's activity. I focus on t...
Purpose – The purpose of this paper is to examine internet search query data provided by “Google Tre...
Abstract—Financial market prediction on the basis of online sentiment tracking has drawn a lot of at...
Recently, there has been substantial research on the augmentation of aggregate forecasts with indivi...
With the growing use of social media networks, trends are being discussed and talked about everywher...
We investigate whether search statistics from Google can be used to forecast stock returns over diff...
Study of the forecasting models using large scale microblog discussions and the search behavior data...
With the development of internet and information technology, online text data has become available a...
A wide body of research uses data from social media websites to predict offline economic outcomes su...
A large body of research uses data from social media websites to predict offline economic outcomes s...
An increasing fraction of the global discourse is migrating online in the form of blogs, bulletin bo...
Sales forecasting is an essential topic for organizations and accurate forecasts can help to establi...
This article explores the usefulness of sentiment analysis and Google trends data for car sales fore...
Today’s competitive market in the video game industry puts a lot of stress on companies to be ahead ...
In this paper, we propose a novel method for real estate price prediction using web new media sentim...
The goal of this thesis is to assess information contained in internet user's activity. I focus on t...
Purpose – The purpose of this paper is to examine internet search query data provided by “Google Tre...
Abstract—Financial market prediction on the basis of online sentiment tracking has drawn a lot of at...
Recently, there has been substantial research on the augmentation of aggregate forecasts with indivi...
With the growing use of social media networks, trends are being discussed and talked about everywher...
We investigate whether search statistics from Google can be used to forecast stock returns over diff...
Study of the forecasting models using large scale microblog discussions and the search behavior data...
With the development of internet and information technology, online text data has become available a...