Abstract
Short messages from microblog streams often contain information about real-world events. Streams of related messages can be clustered and classified as events or non-events. Summarizing events from clusters of event related messages is a challenging task as the summary needs to be concise yet informational. We present a novel method of summarization of events from short messages. We also propose a method of creating a set of extensive reference summaries from manually created summaries for effective evaluation. We used standard ROUGE based metrics to compare the proposed summarizer with many existing baselines including a strong Hybrid-tfidf method. Our summarizer consistently outperformed others in F1-score with a margin of 11% in ROUGE-1 and 5% in ROUGE-2 over Hybrid-tfidf.
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Samant, S.S., Bhanu Murthy, N.L., Malapati, A. (2018). CapAct: A Wordnet-Based Summarizer for Real-World Events from Microblogs. In: Negi, A., Bhatnagar, R., Parida, L. (eds) Distributed Computing and Internet Technology. ICDCIT 2018. Lecture Notes in Computer Science(), vol 10722. Springer, Cham. https://doi.org/10.1007/978-3-319-72344-0_27
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DOI: https://doi.org/10.1007/978-3-319-72344-0_27
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