Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 11 of 11 for “"Google Trends"”.
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Utilizing Google Trends data for effective modeling of COVID-19 outcomes: a vector auto regression (VAR) approach
… has helped assess and anticipate human behavior. Google's real-time population data can indicate popular interest during a pandemic. This study analyzes Google Trends (GT) data of COVID-19-related search phrases and CDC information to forecast US daily new cases, cumulative cases, and deaths. …
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Trending in the Right Direction: Using Google Trends Data as a Measure of Public Opinion During a Presidential Election
… This thesis seeks to investigate whether Google Trends can be effectively used as a measure of public opinion during presidential elections. This study gathers polling data from the 2016 presidential election from states that were considered swing states. Specifically, this study examines …
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The South African Journal of Industrial Psychology: A comparison of scholarly publications and published practitioner concerns from 2014-2017
… Psychology (SAJIP) from 2014 to 2017. These trends were then compared with those in the South African Journal of Human Resource Management (SAJHRM), Deloitte Human Capital Trends Reports, and related Google search data over the same period. This was done through a content analysis, …
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Machine Learning with FEARS index: does the inclusion of investor sentiment improve a machine learning model's ability to predict volatility?
… data of different search terms obtained from Google Trends. The resulting Financial and Economic Attitudes Revealed by Search (FEARS) index is then utilised as a feature to forecast volatility via three different machine learning (ML) techniques, namely the Random Forest, Artificial Neural …
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Global economic trends in the context of investor relations and strategic management. A longitudinal analysis of trends utilized in annual reports of German blue chip corporations.
… markets that are also called “global economic trends” (GET) or “megatrends”. Currently, research does not provide a coherent view or theory for the assessment of these trends, which often leads to misinterpretation in business and academics. Literature such as publications provided by …
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ESSAYS ON CULTURE AND CONSUMER BEHAVIOR
… real estate transaction data, analysis of Google Trends data, and pre-registered lab studies, I show that conservatives are more inclined to engage in price negotiations than their liberal counterparts. This is because conservatives, relative to liberals, endorse free-market principals more …
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Does Google Search Data Aid In Predicting Unemployment?
… looks to improve upon existing models by adding Google search data to traditional models using initial claims or replacing initial claims with Google searches. One hypothesis is that Google searches may improve forecast accuracy due to employees knowing or getting a sense when they may become …
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A Behavioural Data Approach Towards Predicting Direct Real Estate Markets in the United Kingdom
In recent years, modern prediction models have evolved to include behavioural data such as user-generated search query data that capture market sentiment and reach beyond the grasp of established macroeconomic indicators. These applications had considerable success in predicting a wide range of …
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Heterogeneous Sensor Signal Processing for Inference with Nonlinear Dependence
… this model is applied to the fusion of Google Trends (GT) data and stock/flu data for prediction, where the stock/flu data serves as a surrogate for sensor data. </p> <p>In energy constrained networks, local observations are compressed before they are transmitted to the FC. In these …
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The predictor impact of Web Search and Social Media
… in search results from search engines, like Google and Bing. With the explosion of user generated content, came the need by politicians, analysts, researcher to monitor the content of different users. During my PhD, I decided to investigate whether social media activity or information …