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the average Tweet frequency of keywords per day in and around a potential event area and use these estimations to classify whether the keywords are related to a local event. The proposed scheme achieves a precision rate of 68% which is a significant improvement compared to related work that states a precision rate of
”) that report first-hand experience. In order to achieve this goal we explore machine learning with data crowdsourced from laymen annotators. With the help of lay annotators recruited from CrowdFlower we manually annotated 1548 tweets containing keywords related to two kinds of drugs: SSRIs (eg. Paroxetine), and cognitive
With the rapid growth of open APIs on the Internet, searching appropriate APIs for a given query becomes a challenging problem. General API search systems, such as ProgrammableWeb, usually can not provide satisfactory results of API search due to the simple keywords matching between queries and API information offered
geo-tagged information associated to tweets, events related to a particular place can be detected using clustering techniques and semantic interpretation of keywords.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.