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Welcome to our newsletter!
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Welcome to the third issue of the Web Intelligence Hub Newsletter! In this newsletter, you will receive the latest news from the Web Intelligence Hub (WIH): Your toolbox for high-quality statistics from web content. We hope you enjoy reading. Feel free to share the newsletter among your networks and encourage them to subscribe to receive the next issue!
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First experimental statistics based on WIH data
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Eurostat has published its first experimental statistics based on data produced by the Web Intelligence Hub (WIH)! These statistics focus on labour market demand for Information and Communication Technology (ICT) specialists and use the Online Job Advertisements (OJAs) data of the WIH as a source. Read this item to learn more about the experimental statistics and where to find them.
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Statistical business registers: a ‘cornerstone’ of official statistics
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In its blog, the Web Intelligence Network (WIN) delves into the topic of statistical business registers and how to improve them with the help of web data. Read our article to find out more about the WIN’s work in this area.
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European Statistics Awards on Web Intelligence
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The first European Statistical Awards in web intelligence have paved the way for more accuracy of WIH data. With more than 112,000 online job advertisements analyzed by participants from 17 countries, the competition tackled the important challenge of data deduplication, to avoid double counting of the same online job advertisements scraped from different web portals. Congratulations to our winners, who demonstrated exceptional analytical skills. Stay tuned for more updates and help spread the word about the competition.
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OJA Data for 2023.Q4 now in the DataLab!
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Dive into our latest OJA data for 2023.Q4, now available in Eurostat’s DataLab!
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Use of Natural Language Processing to innovate and improve OJA data
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Natural Language Processing (NLP) is a form of artificial intelligence employed by the WIH to make better use of the wealth of web content extracted from online job portals and to improve the quality of OJA data. Read this item to learn more about the WIH’s use of NLP techniques and how to navigate its latest WIH-OJA-NLP table releases.
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