Subject Specific Stream Classification Preprocessing Algorithm for Twitter Data Stream

2017/05/28 by Nisansa de Silva, de Silva, Nisansa, Danaja Maldeniya +3
Computer Science · #Computation and Language (cs.CL) #Data Stream Mining Techniques #FOS: Computer and information sciences #Network Security and Intrusion Detection #Web Data Mining and Analysis

paper · pdf · doi:10.48550/arxiv.1705.09995

openalex publication_date 2017/05/28 · openalex created_date 2017/06/05 · openalex updated_date 2026/07/28

Abstract

Micro-blogging service Twitter is a lucrative source for data mining applications on global sentiment. But due to the omnifariousness of the subjects mentioned in each data item; it is inefficient to run a data mining algorithm on the raw data. This paper discusses an algorithm to accurately classify the entire stream in to a given number of mutually exclusive collectively exhaustive streams upon each of which the data mining algorithm can be run separately yielding more relevant results with a high efficiency.

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