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TOWARDS REAL TIME INCREMENTAL SHORT TEXT SUMMARIZATION ON COMMENT STREAMS FROM SOCIAL NETWORK SERVICES
The problem of short text summarization on the comment stream of a specific message from social network services (SNS). Due to the high popularity of SNS, the quantity of comments may increase at a high rate right after a social message is published.
we model a novel incremental clustering problem for comment stream summarization on SNS. Moreover, we propose IncreSTS algorithm that can incrementally update clustering results with latest incoming comments in real time. Furthermore, we design an at-a-glance visualization interface to help users easily and rapidly get an overview summary.
DEPARTMENT PROFILE
Department Profile(DP) is a web-based application for students, faculty, academic staff who want to get and retrieve student’s whole information instantly via internet. The major benefit of this web portal is to store the students information at one place like SERVER.
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