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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    <subfield code="a">Twitter</subfield>
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    <subfield code="a">Social media analysis</subfield>
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    <subfield code="d">19th-21st May 2015.</subfield>
    <subfield code="g">ISI 2015</subfield>
    <subfield code="a">Re:inventing Information Science in the Networked Society. Proceedings of the 14th International Symposium on Information Science </subfield>
    <subfield code="c"> Zadar, Croatia</subfield>
    <subfield code="n">Session 3: Information/Data Retrieval, Visualization and Mapping</subfield>
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    <subfield code="u">University of Regensburg</subfield>
    <subfield code="a">Burghardt, Manuel </subfield>
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    <subfield code="u">University of Regensburg</subfield>
    <subfield code="a"> Wolff, Christian</subfield>
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    <subfield code="u">University of Regensburg</subfield>
    <subfield code="a">Spanner, Sebastian </subfield>
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    <subfield code="a">Twista — An Application for the Analysis and Visualization of Tailored Tweet Collections</subfield>
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    <subfield code="a">&lt;p&gt;Social media services like Twitter churn out user-generated content in vast&lt;br /&gt;
amounts. The massive availability of this kind of data demands new forms of&lt;br /&gt;
analysis and visualization, to make it accessible and interpretable. In this article,&lt;br /&gt;
we introduce Twista, an application that can be used to create tailored&lt;br /&gt;
tweet collections according to specific filter criteria, such as the occurrence&lt;br /&gt;
of certain keywords or hashtags. Once the tweet collection has been created,&lt;br /&gt;
Twista calculates basic statistics, e.g. the average tweet length or the most&lt;br /&gt;
active user. Furthermore, the application can perform basic sentiment analysis,&lt;br /&gt;
analyze tweets with regard to their date of publication, and analyze the&lt;br /&gt;
communication between different Twitter users. The results of these analyses&lt;br /&gt;
are visualized by means of the data driven documents toolkit (d3.js) and can&lt;br /&gt;
be viewed directly in the browser, or are available for download in PDF and&lt;br /&gt;
JSON format. We also present three exemplary use cases that illustrate the&lt;br /&gt;
possible use of Twista for different scenarios.&lt;/p&gt;</subfield>
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