Conference paper Open Access

Twista — An Application for the Analysis and Visualization of Tailored Tweet Collections

Spanner, Sebastian ; Burghardt, Manuel ; Wolff, Christian


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{
  "description": "<p>Social media services like Twitter churn out user-generated content in vast<br />\namounts. The massive availability of this kind of data demands new forms of<br />\nanalysis and visualization, to make it accessible and interpretable. In this article,<br />\nwe introduce Twista, an application that can be used to create tailored<br />\ntweet collections according to specific filter criteria, such as the occurrence<br />\nof certain keywords or hashtags. Once the tweet collection has been created,<br />\nTwista calculates basic statistics, e.g. the average tweet length or the most<br />\nactive user. Furthermore, the application can perform basic sentiment analysis,<br />\nanalyze tweets with regard to their date of publication, and analyze the<br />\ncommunication between different Twitter users. The results of these analyses<br />\nare visualized by means of the data driven documents toolkit (d3.js) and can<br />\nbe viewed directly in the browser, or are available for download in PDF and<br />\nJSON format. We also present three exemplary use cases that illustrate the<br />\npossible use of Twista for different scenarios.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "University of Regensburg", 
      "@type": "Person", 
      "name": "Spanner, Sebastian "
    }, 
    {
      "affiliation": "University of Regensburg", 
      "@type": "Person", 
      "name": "Burghardt, Manuel "
    }, 
    {
      "affiliation": "University of Regensburg", 
      "@type": "Person", 
      "name": " Wolff, Christian"
    }
  ], 
  "headline": "Twista \u2014 An Application for the Analysis and Visualization of Tailored Tweet Collections", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2015-05-26", 
  "url": "https://zenodo.org/record/17959", 
  "@type": "ScholarlyArticle", 
  "keywords": [
    "Twitter", 
    "Social media analysis", 
    "Big data", 
    "Information visualization"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.17959", 
  "@id": "https://doi.org/10.5281/zenodo.17959", 
  "workFeatured": {
    "url": "http://isi2015.de", 
    "alternateName": "ISI 2015", 
    "location": " Zadar, Croatia", 
    "@type": "Event", 
    "name": "Re:inventing Information Science in the Networked Society. Proceedings of the 14th International Symposium on Information Science "
  }, 
  "name": "Twista \u2014 An Application for the Analysis and Visualization of Tailored Tweet Collections"
}
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