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TOTEM
<span title="">2017</span>
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<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ibcfmixrofb3piydwg5wvir3t4" style="color: black;">Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17</a>
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Tweets summarization aims to find a group of representative tweets for a specific topic. In recent times, there have been several research efforts toward devising a variety of techniques to summarize tweets in Twitter. However, these techniques are either not personal (i.e., consider only tweets in the timeline of a specific user) or are too expensive to be realized on a mobile device. Given that 80% of active Twitter users access the site on mobile devices, in this demonstration we present a
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... ghtweight, personalized, on-demand, topic modeling-based tweets summarization engine called totem, designed for such devices. Specifically, totem summarizes most recent tweets on a user's timeline and enables her to visualize and navigate representative topics and associated tweets in a user-friendly tap-and-swipe manner.
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