CS294-1 Final Project Report Real-Time Event Detection by Twitter
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چکیده
Twitter has become a popular microblogging service. An important characteristic of Twitter is its real-time nature. For example, when an earthquake occurs, people make many tweets related to the earthquake, which enables detection of earthquake occurrence promptly, simply by observing the tweets. In this report, we investigate the real-time interaction of events such as earthquakes, in Twitter, and propose an algorithm to monitor tweets and to detect a target event. To detect a target event, we devise a classifier of tweets based on features such as the keywords in a tweet, the number of words, and their context. We also establish a temporal model to estimate time of occurrence. Finally, we use geocharts from Google to show our results on maps. In this report, section 1 describes our goal of this project. Section 2 introduces how we collect data and how we processed these data for classification. Section 3 talks about the approach we used for the project in detail and why we choose it. Section 4 shows the results and performance analysis. Section 5 gives a short scenario about what will be done for next step. Section 6 summarizes what we have done and what we have learned through this project.
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تاریخ انتشار 2012