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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 6 of 6 1 Emoji Sentiment Ranking 1.0 Kralj Novak, Petra; Smailović, Jasmina; Sluban, Borut. - : Jožef Stefan Institute, 2015 BASE Show details 2 Sentiment of Emojis ... Novak, Petra Kralj; Smailović, Jasmina; Sluban, Borut. - : arXiv, 2015 BASE Show details 3 Emoji Sentiment Ranking ... Novak, Petra Kralj; Smailović, Jasmina; Sluban, Borut. - : figshare, 2015 BASE Show details 4 Emoji Sentiment Ranking ... Novak, Petra Kralj; Smailović, Jasmina; Sluban, Borut. - : figshare, 2015 BASE Show details 5 Sentiment of Emojis Kralj Novak, Petra; Smailović, Jasmina; Sluban, Borut. - : Public Library of Science, 2015 BASE Show details 6 Extraction of Temporal Networks from Term Co-Occurrences in Online Textual Sources Popović, Marko; Štefančić, Hrvoje; Sluban, Borut; Kralj Novak, Petra; Grčar, Miha; Mozetič, Igor; Puliga, Michelangelo; Zlatić, Vinko. - : Public Library of Science, 2014 Abstract: A stream of unstructured news can be a valuable source of hidden relations between different entities, such as financial institutions, countries, or persons. We present an approach to continuously collect online news, recognize relevant entities in them, and extract time-varying networks. The nodes of the network are the entities, and the links are their co-occurrences. We present a method to estimate the significance of co-occurrences, and a benchmark model against which their robustness is evaluated. The approach is applied to a large set of financial news, collected over a period of two years. The entities we consider are 50 countries which issue sovereign bonds, and which are insured by Credit Default Swaps (CDS) in turn. We compare the country co-occurrence networks to the CDS networks constructed from the correlations between the CDS. The results show relatively small, but significant overlap between the networks extracted from the news and those from the CDS correlations. Keyword: Research Article URL: https://doi.org/10.1371/journal.pone.0099515 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4254290 http://www.ncbi.nlm.nih.gov/pubmed/25470498 BASE Hide details

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