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7 results for “newspaper analysis”
Dataset for Logical-layout analysis on French historical newspapers
<p><strong>Dataset for Logical-layout analysis on French historical newspapers</strong></p> <p>This dataset is intended for training and testing Logical Layout Analysis and recognition system on French historical documents published between 1900 and 1950. The original data is part of the "<a href="https://gallica.bnf.fr/services/engine/search/sru?operation=searchRetrieve&exactSearch=false&version=1.2&query=%28colnum%20adj%20%22Appartient%20%C3%A0%20l%27ensemble%20documentaire%20:%20FrancComt1%22%29">Fond régional: Franche-Comté</a>", which is curated by <a href="https://gallica.bnf.fr/accueil/fr/content/accueil-fr?mode=desktop">Gallica</a>, the digital portal of the Bibliothèque Nationale de France (BnF). This dataset has the following structure:</p> <p>├── train<br> ├── 1c<br> ├── cb32836282t<br> ├── cb32836282t.xml<br> ├── bpt6k112325g<br> ├── bpt6k112325g.xml<br> ├── truelabels_block.csv<br> ├── truelabels_line.csv<br> ├── …<br> ├── …<br> ├── 2c<br> ├── 3c+<br> └── test<br> ├── 1c<br> ├── 2c<br> └── 3c+</p> <p>The dataset is divided into a train and a test set. The train and test datasets have been designed to cover as much as possible the various possible layouts that exist in the "Fond régional: Franche-Comté" dataset. To do so, we have divided them into three layout types:<br> • <strong>1c</strong>: documents where the text is displayed in one column, as in books;<br> • <strong>2c</strong>: documents where the text is displayed into two columns;<br> • <strong>3c+</strong>: documents where there are at least 3 columns of text, as in newspapers.</p> <p>Each of the 1c, 2c, and 3c+ folder contains subfolders prefixed by ‘cb’, which contain a collection of documents. For instance, « cb32836282t » is the identifier used in Gallica for « Le Petit écho du 21e Régiment d'infanterie », a French military periodical published during WWI. An XML file with the same name, for instance «cb32836282t.xml », contains metadata about the collection, such as its title, publisher, creator, number of issues, etc. This XML file serves only to describe the collection, and is not to be used for Logical-Layout analysis.</p> <p>The issues in each collection can be found in the subfolders prefixed with « bpt ». For instance, « bpt6k112325g » is the identifier used in Gallica for an issue published in September 1917 of « Le Petit écho du 21e Régiment d'infanterie ». The information about each issue is given in three files, which are described below:</p> <p><strong>1-bptXXXXXXXXXX.xml </strong><br> The original data, as collected from Gallica. The most important tags of this document and their values are described below:<br> • <strong>oai</strong>: metadata about the document, such as its author, title, publisher, original publication date, number of issues, …<br> • <strong>image_url</strong>: the url to the document’s scan (in high resolution)<br> • <strong>pagination</strong>: a description of each page in the document (size of the page, if it contains a table of content or not, …)<br> • <strong>num_pages</strong>: the total number of pages in the document<br> • <strong>ocr</strong>: the OCR representation of the document in the XML ALTO format</p> <p>The XML ALTO format provides the text content and physical layout of documents in the following manner. Lines of text are contained in TextLine tags, which in their turn contain String tags for words and SP tags for spaces. TextLine tags are grouped into blocks in TextBlock tags. Sometimes, TextBlock tags are also grouped into ComposedBlock tags. TextBlock and TextLine tags have the following attributes:<br> • <strong>Id</strong> : the tag’s identifier<br> • <strong>Height</strong>, <strong>Width</strong> : the text height and width<br> • <strong>Vpos</strong> : the vertical position of the text on the page. The higher the value, the lower the word is on the page<br> • <strong>Hpos</strong> : the horizontal position of the text on the page. The higher the value, the further on the right the text is on the page<br> • <strong>Language</strong> : the language of the text (only for TextBlock tags).</p> <p>Among the attributes listed above, some TextBlock tags also have a Type attribute. This attribute contains logical labels of the lines in the block. In this dataset it appears most often for tables or advertisements. Overall, TextBlock tags that have a Type attribute are rare in this dataset (about 4 % only).</p> <p><strong>Note</strong>: The original scan of every document is accessible on the Gallica website, using the URL https://gallica.bnf.fr/ark:/12148/<IDENTIFIER>, where <IDENTIFIER> should be replaced by the id of the document (e.g.: bpt6k112325g) or the collection (e.g.: cb32836282t).</p> <p><strong>2-truelabels_block.csv </strong><br> A CSV file where each line corresponds to a TextBlock tag from the file bptXXXXXXXXXX.xml. This CSV file contains the following columns:<br> • <strong>page</strong>: the page on which the TextBlock tag is located<br> • <strong>block_id</strong>: the id of the TextBlock tag<br> • <strong>first_last_line</strong>: the text content of the first and last TextLine tags inside this TextBlock tag<br> • <strong>classes</strong>: the logical label(s) associated with this TextBlock tag</p> <p>The possible values in the column classes are : Text, Title, Header and Other.</p> <p><strong>3-truelabels_line.csv </strong><br> A CSV file where each line corresponds to a TextLine tag from the file bptXXXXXXXXXX.xml. This CSV file contains the following columns:<br> • <strong>page</strong>: the page where the TextLine tag is located<br> • <strong>block_id</strong>: the id of the TextBlock tag that contains this TextLine tag<br> • <strong>line_id</strong>: the id of this TextLine tag<br> • <strong>text_line</strong>: the text content of this TextLine tag<br> • <strong>classes</strong>: the logical label(s) associated with this TextLine tag</p> <p>The possible values in the column classes are : Text, Firstline, Title, Header and Other. Firstline indicates the « first line » of a paragraph.<br> </p>
Dataset from "Merging Digital Humanities and Discourse Analysis in the Study of COVID-19 Vaccine Distribution in Norwegian Newspapers" (Sverdljuk et al. 2022)
<p>Contains URNs (identifiers) for the newspapers used in the corpus study "Merging Digital Humanities and Discourse Analysis in the Study of COVID-19 Vaccine Distribution in Norwegian Newspapers".</p> <p>For each subcorpus there is an Excel file containing references to the objects used, together with basic metadata.</p> <p>The corpus definitions can be used in various webapps of the DH-LAB at the National Library of Norway, e.g.:</p> <p><a href="https://beta.nb.no/dhlab/concordances/">https://beta.nb.no/dhlab/concordances/</a></p> <p><a href="https://beta.nb.no/dhlab/collocations/">https://beta.nb.no/dhlab/collocations/</a></p> <p>See more at <a href="https://www.nb.no/dh-lab/">https://www.nb.no/dh-lab/</a></p>
Newspaper review and analysis data on media coverage of budget issues in Nigeria
<p>The data was collected from analysis of six newspaper publications to establish citizen engagement and media coverage of the budget discourse from 2009 to 2013 as part of the investigation of the use of the online national budget of Nigeria. The work was part of the 'Exploring the Emerging Impacts of Open Data in Developing Countries' (ODDC) research project.</p>
Data from: Newspaper coverage of maternal health in Bangladesh, Rwanda, and South Africa: a quantitative and qualitative content analysis
Objective: To examine newspaper coverage of maternal health in three countries that have made varying progress towards Millennium Development Goal 5 (MDG 5): Bangladesh (on track), Rwanda (making progress, but not on track) and South Africa (no progress). Design: We analysed each country's leading national English-language newspaper: Bangladesh's The Daily Star, Rwanda's The New Times/The Sunday Times, and South Africa's Sunday Times/The Times. We quantified the number of maternal health articles published from 1 January 2008 to 31 March 2013. We conducted a content analysis of subset of 190 articles published from 1 October 2010 to 31 March 2013. Results: Bangladesh's The Daily Star published 579 articles related to maternal health from 1 January 2008 to 31 March 2013, compared to 342 in Rwanda's The New Times/The Sunday Times and 253 in South Africa's Sunday Times/The Times over the same time period. The Daily Star had the highest proportion of stories advocating for or raising awareness of maternal health. Most maternal health articles in The Daily Star (83%) and The New Times/The Sunday Times (69%) used a 'human-rights' or 'policy-based' frame compared to 41% of articles from Sunday Times/The Times. Conclusions: In the three countries included in this study, which are on different trajectories towards MDG 5, there were differences in the frequency, tone and content of their newspaper coverage of maternal health. However, no causal conclusions can be drawn about this association between progress on MDG 5 and the amount and type of media coverage of maternal health.
Data from: Public opinion in Japanese newspaper readers' posts under the prolonged COVID-19 infection spread 2019-2021: Contents analysis using Latent Dirichlet Allocation
<p><span>These data are based on free description from <span>readers' posts on Japanese hardcopy newspaper articles in the public domain</span>. </span><span>Upon searching for "coronavirus," we found 412 reader submissions during the April 7, 2020 to May 25, 2020, 521 during January 8, 2021 to March 21, 2021, 458 during the April 25, 2021 to June 6, 2021, and 519 during July 12, 2021 to September 30, 2021. </span><span>Topics of content were extracted by Latent Dirichlet Allocation, and then calculating the ratio of topic occurrence in each description.</span></p>
Data from: Newspaper coverage of maternal health in Bangladesh, Rwanda, and South Africa: a quantitative and qualitative content analysis
Open the record for dataset details and reuse information.
Data from: Public opinion in Japanese newspaper readers’ posts under the prolonged COVID-19 infection spread 2019-2021: Contents analysis using Latent Dirichlet Allocation
Open the record for dataset details and reuse information.
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