A Generation Method of Filtering Rules of Twitter Via Smartphone Based Participatory Sensing System for Tourist by Interactive GHSOM and C4.5

TL;DR

This paper presents a method for automatically generating filtering rules for tourist information on Twitter, using an interactive GHSOM and C4.5 algorithms within a smartphone-based participatory sensing system.

Contribution

It introduces a novel system that automatically creates filtering rules for tourist tweets using interactive GHSOM and C4.5, enhancing information filtering in participatory sensing.

Findings

Automatic rule generation for filtering tourist tweets

Integration of GHSOM and C4.5 algorithms

Improved relevance of filtered sightseeing information

Abstract

Mobile Phone based Participatory Sensing (MPPS) systems involve a community of users sending personal information and participating in autonomous sensing through their mobile phones. Sensed data can also be obtained from external sensing devices that can communicate wirelessly to the phone. We have developed the tourist subjective data collection system with Android smartphone. The tourist can tweet the information of sightseeing spots by using the application. The application can determine the filtering rules to provide the important information of sightseeing spot. The rules are automatically generated by Interactive Growing Hierarchical SOM and C4.5.