Endarnoto, Sri Krisna and Nugroho, Anto S. (2011) Information Extraction From Social Media Twitter Using Natural Language Processing For Android Mobile Application. Bachelor thesis, Swiss German University.

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Abstract

Traffic jam in Jakarta has become a crucial problem for society. A Traffic Management Center has been built by Polda Metro Jaya, police unit in Jakarta, to help people to get the latest information of traffic. Twitter has been used to spread the news of traffic by them. With its limitation, Twitter doesn’t provide good user interface in the case of traffic condition report. The main objective of this project is to develop a system that can extract information from TMC’s Twitter to be presented in a map view by using Google Map and implement it in Android-based mobile application. Natural Language Processing can be used for information extraction. A tweet will be tokenized, each token will be assigned to a particular part-of-speech tag while analyzing the sentence by using rule based approach. Based on the rules, information of traffic can be extracted in the form of template which consist of time, origin, destination and condition. Google Map will present those information in 3 different colors for 3 different levels of traffic. Thus, providing the society an alternative to get traffic information from a reliable source with good user interface. Early experiment with limited vocabulary and rules has showed promising result.

Item Type:	Thesis (Bachelor)
Uncontrolled Keywords:	Natural Language Processing; Information Extraction; Mobile Application
Subjects:	H Social Sciences > HM Sociology > HM742 Online social networks > HM742.1 Social Media Q Science > QA Mathematics > QA76 Computer software > > QA76.91 Data mining T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5103 Mobile computing
Divisions:	Faculty of Engineering and Information Technology > Department of Information Technology
Depositing User:	Astuti Kusumaningrum
Date Deposited:	16 Mar 2021 09:24
Last Modified:	16 Mar 2021 09:24
URI:	http://repository.sgu.ac.id/id/eprint/1115

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