However, current research on detecting pandemic using social media data mostly exhibits the following shortcomings. Firstly, many studies focus solely on a single wave of the pandemic, failing to validate and capture the underlying reasons with potential predictive capability across multiple waves. This ...
However, like in many of such articles, the focus is on the analysis and the creation of the dataset is not covered. For the detection of relevant social media data, it is necessary, first to retrieve the data from social media platforms. Required data can be accessed via multiple sources...
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However, note that figures for social media users may not represent unique individuals, and due to issues like duplicate accounts, social media user figures may exceed the figures that we publish for internet users – or even for the total population. This is why we refer to social media user...
However, this rank order seems to contradict the findings of the dataset we explored above, which puts social media well ahead of search engines when it comes to the connected services that we use most often. The answer to this quandary may lie in the various reasons why people use social ...
Once you are familiar with the topic of social media data, let us proceed to the next phase. The first step is to understand the process involved in exploitation of data present on social networks. A proper execution of the process, with attention to small details, is the key to good ...
around 97.9% is generated using this Twitter dataset. However, the researcher state that there are biases in the result due to the extremely small size of the dataset after sampling. The approach used can result in removing the contextual meaning of the sentence contained in the social media ...
However, given the very large heterogeneous dataset from social media, one of the major challenges is to identify the valuable data and how analyse them to discover useful knowledge improving decision making of individual users and companies [18]. In order to analyse the social media data ...
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We then assembled a diverse set of public social media posts associated with survey-identified K-12 schools spanning a 90-day period before (~3 months) and a 90-day period after (~3 months) after each drill identified above. We adopted three procedures to build out this dataset: (1) Ide...