MAPPING SENTIMENTS VIA TWEETS

dc.contributor.author	Muhammad Alqamah Bhutta, Mir Balach Marri, Saifullah Khan Suliman Qais Khan
dc.date.accessioned	2025-02-19T05:50:02Z
dc.date.available	2025-02-19T05:50:02Z
dc.date.issued	2025-02-19
dc.identifier.other	08268
dc.identifier.uri	http://10.250.8.41:8080/xmlui/handle/123456789/50026
dc.description	Supervisor: Ms Quratulain Shafi	en_US
dc.description.abstract	In the era of big data and virtual reality lack of Geographic Information Systems to integrate new type of data and visualization methods is limiting its applications and full potential, in order to enhance GIS capabilities. This project provides new methods of gathering data from crowd sourcing and social media and helps display it in a compact and visually appealing method to improve decision making and analysis. This system extracts information from tweets by data mining and computer intelligence, then displays them categorically using maps. Furthermore users can get sentiment analysis of society for information of their interest. By utilizing information from social media a new dimension has opened up for analysis using GIS.	en_US
dc.language.iso	en	en_US
dc.publisher	Institute of Geographical Information Systems (IGIS)	en_US
dc.subject	big data and virtual reality	en_US
dc.title	MAPPING SENTIMENTS VIA TWEETS	en_US
dc.type	Thesis	en_US