Search results for "Web scraping"
showing 3 items of 3 documents
Nodarbinātības prognozēšana, izmantojot ekonomiko ziņu noskaņojumu
2021
Maģistra darbs pielieto ekonomisko ziņu noskaņojuma indeksu, lai atrisinātu paradoksu starp nepieciešamību pēc biežākām makroekonomisko prognožu atjauninājumiem un nepietiekamu attiecīgo rādītāju atjaunošanas biežumu. Izmantojot modernākas datu zinātnes metodes, tika iegūts ikdienu ziņu noskaņojuma indekss, lai izpētītu, vai ziņu noskaņojums ir piemērots, prognozējot nodarbinātības dinamiku Dānijā, un uzlabotu prognozes precizitāti modelī. Analīze rāda, ka pastāv statistiska saistība starp nodarbinātības dinamiku un ziņu noskaņojumu, un ka noskaņojuma rādītāju izmantošana var palielināt nodarbinātības datu prognozēšanas precizitāti īsos prognozēšanas periodos.
Research literature clustering using diffusion maps
2013
We apply the knowledge discovery process to the mapping of current topics in a particular field of science. We are interested in how articles form clusters and what are the contents of the found clusters. A framework involving web scraping, keyword extraction, dimensionality reduction and clustering using the diffusion map algorithm is presented. We use publicly available information about articles in high-impact journals. The method should be of use to practitioners or scientists who want to overview recent research in a field of science. As a case study, we map the topics in data mining literature in the year 2011. peerReviewed
Enhancing news recommendation using a personalized content manager
2018
The surge in the amount of information available on the internet and the number of users utilizing such information poses new challenges for information systems. This rapid growth in information is palpable in the news provisioning domain where users spend time deciding which of the many channels provides news in a most reliable and useful fashion. In the last few years, News aggregation platforms are now present which reduces the time users spends in consuming news from multiple sources. But news provisioning is more than just aggregating and presenting news. It must also include taking into cognizance users’ needs. Therefore, recommendation algorithms are developed by information systems …