Towards Real-Time Summarization of Scheduled Events from Twitter Streams \titlenoteThe present paper gives more technical and experimental details about the work published as a poster at HT’2012 [8].
Table 4: Precision of summaries in Spanish (es), English (en), and Portuguese (pt).
['[EMPTY]', '[BOLD] es', '[BOLD] en', '[BOLD] pt']
The results show that a simple TF approach is relatively good for the selection of a representative tweet, with precision values above 70% for all three languages. As for recall values, KLD does better than TF, with precision values near or above 80%. This shows that taking advantage of the differences between the current sub-event and tweets shared before considerably helps in the tweet selection. Note also that English summaries reach 0.79 precision even if the tweet stream is, in that case, an order of magnitude smaller than their Spanish counterpart, suggesting that the method works well at very different tweeting rates.