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001 ocn973414766;

003 OCoLC;

005 20170427123411.0;

006 m o d ;

007 cr unu||||||||;

008 170222s2015 ncuad obm 000 0 eng d;

035 a| (Sirsi) o973414766;

035 a| (OCoLC)973414766;

049 a| EREE;

090 a| HM742;

100 1 a| Braddy, Shawn,e| author.?| UNAUTHORIZED;

245 10 a| Sentiment analysis study with an emphasis on the integration of different statement polarities and the evaluation of the resulting sentiments :c| by Shawn Braddy.;

264 1 a| [Greenville, N.C.] :b| [East Carolina University],c| 2015.;

300 a| 73 pages :b| illustrations (chiefly color), charts;

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

347 a| text fileb| PDFc| 1.93 MB2| rda;

538 a| System requirements: Adobe Reader.;

538 a| Mode of access: World Wide Web.;

502 b| M.S.c| East Carolina Universityd| 2015;

500 a| Presented to the faculty of the Department of Computer Science.;

500 a| Advisor: Mark Hills.;

500 a| Title from PDF t.p. (viewed April 25, 2017).;

520 3 a| Social media has become an integral part of today's society and has continued to grow tremendously throughout the world. People communicate through social media constantly and social media has become a pivotal place for people to gather information related to things that they are interested in. It is also a place for people to express their views to friends, family and followers with just one click of a button immediately. Naturally in society there are a wide range of views encompassing an unlimited amount of subjects. Some of these views can be deemed negative, positive, neutral or maybe even other. My research will attempt to identify the sentimental impact that different views in the form of social interactions online, can have on the people who are watching, listening and reading them. Furthermore, I will research how the integration of neutral and positive statements can stimulate positive and productive conversation amongst a community on a small scale as well as a large scale. Analysis of this will be quantified by changes in the overall reaction of the various communities time following intervention. The main contribution of this thesis is to show a correlation between statements with positive or neutral sentiment and a trend towards positive or neutral responses after moderation. Events of large discussion or interest will be evaluated to ensure a significant amount of data is available for analysis. In order to integrate the social aspect into the equation, software will be explored and evaluated or built and then utilized to connect participants and extract the appropriate metrics.;

504 a| Includes bibliographical references.;

650 0 a| Social mediax| Social aspects.=| ^A770054;

650 0 a| Social mediax| Psychological aspects.=| ^A770054;

650 0 a| Sentimentalism.=| ^A582462;

650 0 a| Social exchange.=| ^A46839;

653 a| Sentiment analysis;

700 1 a| Hills, Mark,e| degree supervisor.?| UNAUTHORIZED;

710 2 a| East Carolina University.b| Department of Computer Science.?| UNAUTHORIZED;

856 40 z| Access via ScholarShipu| http://hdl.handle.net/10342/6071;

949 o| wjh;

994 a| C0b| ERE;

596 a| 1 4;

998 a| 4627393;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 4627393-1001l| JNETm| JOYNERr| Ys| Yt| JNE3ETDu| 2/22/2017x| ETDz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 4627393-2001l| HSLELECm| HSLr| Ys| Yt| HEETDu| 2/22/2017x| ETDz| HERESOURCE;

Sentiment analysis study with an emphasis on the integration of different statement polarities and the evaluation of the resulting sentiments / by Shawn Braddy.

Author/creator	Braddy, Shawn author.
Other author	Hills, Mark, degree supervisor.
Other author	East Carolina University. Department of Computer Science.
Format	Theses and dissertations
Publication	[Greenville, N.C.] : [East Carolina University], 2015.
Description	73 pages : illustrations (chiefly color), charts
Supplemental Content	Access via ScholarShip
Subjects	Social media--Social aspects. Social media--Psychological aspects. Sentimentalism. Social exchange.

Summary	Social media has become an integral part of today's society and has continued to grow tremendously throughout the world. People communicate through social media constantly and social media has become a pivotal place for people to gather information related to things that they are interested in. It is also a place for people to express their views to friends, family and followers with just one click of a button immediately. Naturally in society there are a wide range of views encompassing an unlimited amount of subjects. Some of these views can be deemed negative, positive, neutral or maybe even other. My research will attempt to identify the sentimental impact that different views in the form of social interactions online, can have on the people who are watching, listening and reading them. Furthermore, I will research how the integration of neutral and positive statements can stimulate positive and productive conversation amongst a community on a small scale as well as a large scale. Analysis of this will be quantified by changes in the overall reaction of the various communities time following intervention. The main contribution of this thesis is to show a correlation between statements with positive or neutral sentiment and a trend towards positive or neutral responses after moderation. Events of large discussion or interest will be evaluated to ensure a significant amount of data is available for analysis. In order to integrate the social aspect into the equation, software will be explored and evaluated or built and then utilized to connect participants and extract the appropriate metrics.
General note	Presented to the faculty of the Department of Computer Science.
General note	Advisor: Mark Hills.
General note	Title from PDF t.p. (viewed April 25, 2017).
Dissertation note	M.S. East Carolina University 2015
Bibliography note	Includes bibliographical references.
Technical details	System requirements: Adobe Reader.
Technical details	Mode of access: World Wide Web.

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Sentiment analysis study with an emphasis on the integration of different statement polarities and the evaluation of the resulting sentiments / by Shawn Braddy.

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