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In this study, we used the Google Trends as a prediction tool to predict the investors' behavior and its impact on stock market. In the behavior and social perspective, more and more Internet users use Google Trends as the search engine to surf on the websites every day. Therefore, these search actions can be seen as personal votes because Internet users often search items they are interested in....
apps via a set of keywords. MARK then lists the reviews most relevant to those keywords for further analyses. It can also draw the trends over time of the selected keywords, which might help the analyst to detect sudden changes in the related user reviews. To help the analyst describe her interests more effectively, MARK
To set the stage for the conference it is of interest to take a look back in order to try a look forward at potential upcoming research trends. For this purpose research topics addressed in Electronics Goes Green conferences since 2000 are quantitatively investigated with a keyword density analysis. The focus is on
Nonlinear Auto-Regressive Moving Average (NARMA)) to forecast Malaysian tourism influx based on the volume of internet searches of the keyword ‘tourism Malaysia’ in Google Trends, based on proven strong correlatedness between the volume of internet searches with tourism in a particular area. Both models were
system centred on the use of keyword-based, Web search engines. By leveraging the existing infrastructure of proven search engines, our system aims to automate the humanintensive process of seeking information and emerging trends. A prototype application that integrates the software that we plan to use has been developed to
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