IJMTES – TIME SERIES DATA MINING TECHNIQUES FOR SOCIAL SENTIMENT ANALYSIS

Journal Title : International Journal of Modern Trends in Engineering and Science

Paper Title : TIME SERIES DATA MINING TECHNIQUES FOR SOCIAL SENTIMENT ANALYSIS

Author’s Name : A Sangavi | D Jayakumar
unnamed

Volume 04 Issue 03 2017

ISSN no:  2348-3121

Page no: 249-250

Abstract –A new algorithm for processing queries from face book that define similarity in terms of multiple transformations instead of a single one. The idea is, instead of searching the index multiple times and each time we have to applying a single transformation, to search the index only once and apply a collection of time based transformations simultaneously to the index. Mining the Facebook data’s based on the time series. It can be overcome the accuracy problem because it using the similarity based retrieval in text database. Timeline post are become time based they are perform recent data’s are mining from the database when the outdated data’s are will be eliminated.

Keywords – ProMiSH (Projection and Multi-Scale Hashing); NKS (Nearest Keyword Set), ProMiSH-E (Projection and Multi-Scale Hashing Exact), ProMiSH-A (Projection and Multi-Scale Hashing Approximate)

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