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TOPIC DETECTION IN A SOCIAL MEDIA SENTIMENT EXTRACTION SYSTEM
TOPIC DETECTION IN A SOCIAL MEDIA SENTIMENT EXTRACTION SYSTEM
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机译:社交媒体情感提取系统中的主题检测
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摘要
A computer-implemented system for real time topic detection in a social media message includes a knowledge base of keywords used to ingest the social media message and a partial parser deriving a syntax-semantic parse tree. The system also includes a topic calculator compositionally deriving the topic of the social media message by computing a topic value for given entities in the event described by the social media message. The topic value is derived from a first set of rules assigning Restrictor R-value to prominent R-expressions compositionally in the syntax-semantic parse tree and a second set of rules assigning a numeric Strength S-value to the R-expressions according to whether or not they are part of anaphoric chains in the social media message, and whether or not the R-expressions include name entities that are part of the knowledge base of keywords.
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