東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

The Road to the White House: A Corre...

Pelletier, Melissa G.

Linked to FindBook

Google Book

Amazon

博客來

The Road to the White House: A Correlational Analysis of Twitter Sentiment and National Polls in the 2016 Election Cycle.

Record Type:	Electronic resources : Monograph/item
Title/Author:	The Road to the White House: A Correlational Analysis of Twitter Sentiment and National Polls in the 2016 Election Cycle./
Author:	Pelletier, Melissa G.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	58 p.
Notes:	Source: Masters Abstracts International, Volume: 57-02.
Contained By:	Masters Abstracts International57-02(E).
Subject:	Mass communication. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10640651
ISBN:	9780355522198

The Road to the White House: A Correlational Analysis of Twitter Sentiment and National Polls in the 2016 Election Cycle.
Pelletier, Melissa G.

The Road to the White House: A Correlational Analysis of Twitter Sentiment and National Polls in the 2016 Election Cycle. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 58 p.

Source: Masters Abstracts International, Volume: 57-02.

Thesis (M.A.)--University of South Florida, 2017.

In this thesis, the author examines the last 131 days of the 2016 election cycle. This analysis focuses on how sentiment is present on Twitter when people engage in political communication on social media. With the increasing online political discussions created on social media such as Twitter, an analysis of sentiment is critical. The data could be obtainable for candidates to estimate the electorate's opinion of each candidate. A shift of sentiment offers a deeper insight into tracking changing attitudes toward candidates. Because Twitter only allows each tweet to be 140 characters there is a simplicity that offers statements to be concise. Trends for each candidate throughout the final days of the election cycle are correlated with national polls to assess if there is a relationship present. This study applies sentiment to recognize trends that may estimate a candidate's chance of winning the election and offers indications as to how the intended electorate may vote when a relationship is established between sentiment and national polls.

ISBN: 9780355522198Subjects--Topical Terms:

2144804
Mass communication.

The Road to the White House: A Correlational Analysis of Twitter Sentiment and National Polls in the 2016 Election Cycle.
LDR:02017nmm a2200301 4500 001 2164780
005 20181127124954.5
008 190424s2017 ||||||||||||||||| ||eng d
020 $a 9780355522198
035 $a (MiAaPQ)AAI10640651
035 $a (MiAaPQ)usf:14431
035 $a AAI10640651
040 $a MiAaPQ $c MiAaPQ
100 1 $a Pelletier, Melissa G. $3 3352833
245 1 4 $a The Road to the White House: A Correlational Analysis of Twitter Sentiment and National Polls in the 2016 Election Cycle.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 58 p.
500 $a Source: Masters Abstracts International, Volume: 57-02.
500 $a Adviser: Kelli Burns.
502 $a Thesis (M.A.)--University of South Florida, 2017.
520 $a In this thesis, the author examines the last 131 days of the 2016 election cycle. This analysis focuses on how sentiment is present on Twitter when people engage in political communication on social media. With the increasing online political discussions created on social media such as Twitter, an analysis of sentiment is critical. The data could be obtainable for candidates to estimate the electorate's opinion of each candidate. A shift of sentiment offers a deeper insight into tracking changing attitudes toward candidates. Because Twitter only allows each tweet to be 140 characters there is a simplicity that offers statements to be concise. Trends for each candidate throughout the final days of the election cycle are correlated with national polls to assess if there is a relationship present. This study applies sentiment to recognize trends that may estimate a candidate's chance of winning the election and offers indications as to how the intended electorate may vote when a relationship is established between sentiment and national polls.
590 $a School code: 0206.
650 4 $a Mass communication. $3 2144804
650 4 $a Political science. $3 528916
690 $a 0708
690 $a 0615
710 2 $a University of South Florida. $b Mass Communications. $3 1680516
773 0 $t Masters Abstracts International $g 57-02(E).
790 $a 0206
791 $a M.A.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10640651