Browse by Tags: social data

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Number of items: 2.
  1. [img] [img]
    Temporal TF-IDF: A High Performance Approach for Event Summarization in Twitter
    In recent years, there has been increased interest in real-world event summarization using publicly accessible data made available through social networking services such as Twitter and Facebook. People use these outlets to communicate with others, express their opinion and commentate on a wide variety of real-world events, such as disasters and public disorder. Due to the heterogeneity, the sheer volume of text and the fact that some messages are more informative than others, automatic summarization is a very challenging task. This paper presents three techniques for summarizing microblog documents by selecting the most representative posts for real-world events (clusters). In particular, we tackle the task of multilingual summarization in Twitter. We evaluate the generated summaries by comparing them to both human produced summaries and to the summarization results of similar leading summarization systems. Our results show that our proposed Temporal TF-IDF method outperforms all the other summarization systems for both the English and non-English corpora as they lead to informative summaries.

    Shared with the University by
    Ms Amber Bu
  2. [img]
    WebDataRA: Using Social Media Data in Research
    The Web Data RA will capture Twitter, Facebook and Google data from a browser and allow you to paste a the information directly into a spreadsheet. This tutorial focuses on pursuing research questions using Twitter data.

    Shared with the World by
    Prof Leslie Carr
This list was generated on Wed Jul 17 10:30:44 2024 UTC.