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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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.17959", 
  "title": "Twista \u2014 An Application for the Analysis and Visualization of Tailored Tweet Collections", 
  "issued": {
    "date-parts": [
      [
        2015, 
        5, 
        26
      ]
    ]
  }, 
  "abstract": "<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>", 
  "author": [
    {
      "given": "Sebastian", 
      "family": "Spanner"
    }, 
    {
      "given": "Manuel", 
      "family": "Burghardt"
    }, 
    {
      "given": "Christian", 
      "family": "Wolff"
    }
  ], 
  "id": "17959", 
  "event-place": " Zadar, Croatia", 
  "type": "paper-conference", 
  "event": "Re:inventing Information Science in the Networked Society. Proceedings of the 14th International Symposium on Information Science  (ISI 2015)"
}
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