News Article Scraping Sample Clauses

News Article Scraping. All news articles are scraped in python (package: Goose3) to extract the news content from HTML source code to text files. With Goose3, we parse the metadata of HTML documents and fetch the full texts of news report articles [7].
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News Article Scraping. Based on the timestamps generated in Section 5.1.3, March 7th and March 9th have possible events. To begin with, we firstly take the tweet dataset that has not gone through HTML removal. We take the tweets posted on the two dates and repeat the location filtering method to only keep the tweets about New York, because these two dates of interest are generated by location-specified event detection model. Then, we extract the URL links that lead to the five chosen news websites. Lastly, the news articles from the five major websites are scraped by Python Goose3 for topic modeling and NER in the following steps. News Agency March 7 March 9 Washington Post 27 2 CNN 19 3 FOX News 2 2 New York Times 14 10 Table 5.1: Number of news reports collected from the five websites As shown in Table 5.1, the five selected news websites in total have 77 articles mentioned in New-York-related tweets on March 7th, and 20 articles on March 9th.

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