Predicting election popularity of a person using crowd sensing in social networks

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015.

ग्रंथसूची विवरण
मुख्य लेखकों:	Nadi, Mashroora, Ahmad, Syed Washfi, Rahman, S.M.Saquib
स्वरूप:	थीसिस
भाषा:	English
प्रकाशित:	BRAC University 2015
विषय:	Computer science and engineering Crows sensing
ऑनलाइन पहुंच:	http://hdl.handle.net/10361/4175

id	10361-4175
record_format	dspace
spelling	10361-41752022-01-26T10:23:15Z Predicting election popularity of a person using crowd sensing in social networks Nadi, Mashroora Ahmad, Syed Washfi Rahman, S.M.Saquib Computer science and engineering Crows sensing This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015. Predicting election popularity from social network data is an appealing research topic. This covers all aspects from data collection to data representation through data processing. Although social media may provide a glimpse on electoral outcomes current research does not provide strong evidence to support it can replace traditional polls. Data scrapping could help us with crawling the data and create a database regarding that statistics which can predict the winner. We propose that social networking sites can provide an “open” publish-subscribe infrastructure to sense crowd and efficiently predict an election result for a political party or a political leader. The possibility of winning for a candidate will be predicted by mining representative terms from the social media that people posted before the election or during campaign. Such systems like crowd sensing can cause benefit to both the voters and the nominees. We are working on Twittter as our social media. 2015-06-01T10:01:56Z 2015-06-01T10:01:56Z 2015 Thesis ID 11101041 ID 11101038 ID 11101019 http://hdl.handle.net/10361/4175 en application/pdf BRAC University
institution	Brac University
collection	Institutional Repository
language	English
topic	Computer science and engineering Crows sensing
spellingShingle	Computer science and engineering Crows sensing Nadi, Mashroora Ahmad, Syed Washfi Rahman, S.M.Saquib Predicting election popularity of a person using crowd sensing in social networks
description	This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015.
format	Thesis
author	Nadi, Mashroora Ahmad, Syed Washfi Rahman, S.M.Saquib
author_facet	Nadi, Mashroora Ahmad, Syed Washfi Rahman, S.M.Saquib
author_sort	Nadi, Mashroora
title	Predicting election popularity of a person using crowd sensing in social networks
title_short	Predicting election popularity of a person using crowd sensing in social networks
title_full	Predicting election popularity of a person using crowd sensing in social networks
title_fullStr	Predicting election popularity of a person using crowd sensing in social networks
title_full_unstemmed	Predicting election popularity of a person using crowd sensing in social networks
title_sort	predicting election popularity of a person using crowd sensing in social networks
publisher	BRAC University
publishDate	2015
url	http://hdl.handle.net/10361/4175
work_keys_str_mv	AT nadimashroora predictingelectionpopularityofapersonusingcrowdsensinginsocialnetworks AT ahmadsyedwashfi predictingelectionpopularityofapersonusingcrowdsensinginsocialnetworks AT rahmansmsaquib predictingelectionpopularityofapersonusingcrowdsensinginsocialnetworks
_version_	1814309747355025408

Predicting election popularity of a person using crowd sensing in social networks

समान संसाधन