2020
DOI: 10.1007/s11704-019-8201-6
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Event detection and evolution in multi-lingual social streams

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Cited by 52 publications
(33 citation statements)
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“…Text representation is the basis of natural language processing, and reasonable text representation can significantly improve the efficiency of downstream tasks; e.g., text classification, machine translation, sentiment analysis, question and answer systems [43]. In recent years, text representation approaches have been developed significantly for various applications [44].…”
Section: A Text Representationmentioning
confidence: 99%
“…Text representation is the basis of natural language processing, and reasonable text representation can significantly improve the efficiency of downstream tasks; e.g., text classification, machine translation, sentiment analysis, question and answer systems [43]. In recent years, text representation approaches have been developed significantly for various applications [44].…”
Section: A Text Representationmentioning
confidence: 99%
“…Following the original Topic Detection and Tracking (TDT) program [ 10 ], event detection aims to discover new or previously unidentified events from the information stream. Most of the works detect events of interest from news media [ 8 , 11 , 19 ] or social media [ 5 , 20 , 21 ]. In addition, some research works are also called event detection but are essentially different from the former task; for example, [ 22 ] talks about ACE event detection task which focuses on extracting events with entities from sentences and [ 23 ] considers the event detection as a text classification problem, that is, categorizing each event to predefined types.…”
Section: Related Workmentioning
confidence: 99%
“…With a large amount of events being announced on social media, a large number of comments, reposts and discussions with opinions and emotions from social network users have been generated, and such content can reflect public opinion about many political, economic, security, employment and social welfare, and education issues, etc. Mining of social media posts, such as online social event detection and evolution discovery, will benefit a lot of real applications, such as predictive analysis [7,45,67,72], disaster risk management [59], public opinion analysis [44,48], information organization [4], recommended systems [49] and others [14]. In general, real-time social event detection and evolution focus on learning highprecision models for identifying event-related clusters from large-scale social messages, as well as fast streaming processing from online social data.…”
Section: Introductionmentioning
confidence: 99%