Tools

LEADER 03077cam a2200541Ii 4500

001 on1056953869;

003 OCoLC;

005 20190131023442.0;

006 m o d ;

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

008 181015s2018 ncua obm 000 0 eng d;

035 a| (Sirsi) o1056953869;

035 a| (OCoLC)1056953869;

049 a| EREE;

090 a| HM743.T95;

100 1 a| Pradyumn, Mudit,e| author.?| UNAUTHORIZED;

245 10 a| Systematic review of literature using Twitter as a tool /c| by Mudit Pradyumn.;

264 1 a| [Greenville, N.C.] :b| [East Carolina University],c| 2018.;

300 a| 54 pages :b| illustrations (some color);

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

347 a| text fileb| PDFc| 614.7 KB2| rda;

538 a| System requirements: Adobe Reader.;

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

502 b| M.S.c| East Carolina Universityd| 2018;

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

500 a| Advisor: Nasseh Tabrizi;

500 a| Title from PDF t.p. (viewed January 17, 2019).;

520 3 a| Twitter has over 330 million active monthly users producing roughly 500 million Tweets per day, or 200 billion Tweets a year. Making this one of the largest human-generated opinion data collections. In addition to this major advantage, Twitter generates real-time data, making it possible to gain insights on trending information instantaneously. People post about a wide variety of subjects, including their opinions, feelings, situations, current trends, and products. This makes it a great data source for analyzing the sentiments of people on a variety of subjects. In this study, out of 1025 research papers on Twitter data analytics from 2011-2017, papers from only 20 selected journals were considered for review. They were then classified based on their year of publication, their titles, data mining methods, and application areas. In the course of this study a tool for the Sentiment Analysis of the Twitter data was developed and used to conduct a case study on individuals on marijuana use during pregnancy.;

504 a| Includes bibliographical references.;

630 00 a| Twitterx| Analysis.=| ^A1049001;

650 0 a| Pregnant womenx| Drug use.=| ^A525552;

653 a| Insight;

653 a| Extraction;

653 a| Classification;

653 a| Sentiment Analysis;

655 7 a| Academic theses.2| lcgft;

700 1 a| Tabrizi, M. H. N.,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/10342/6950;

949 o| wjh;

994 a| C0b| ERE;

596 a| 1 4;

998 a| 4931025;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 4931025-1001l| JNETm| JOYNERr| Ys| Yt| JNE3ETDu| 10/15/2018x| ETDz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 4931025-2001l| HSLELECm| HSLr| Ys| Yt| HEETDu| 10/15/2018x| ETDz| HERESOURCE;

Systematic review of literature using Twitter as a tool / by Mudit Pradyumn.

Author/creator	Pradyumn, Mudit author.
Other author	Tabrizi, M. H. N., degree supervisor.
Other author	East Carolina University. Department of Computer Science.
Format	Theses and dissertations
Publication	[Greenville, N.C.] : [East Carolina University], 2018.
Description	54 pages : illustrations (some color)
Supplemental Content	Access via ScholarShip
Subjects	Twitter--Analysis. Pregnant women--Drug use.

Summary	Twitter has over 330 million active monthly users producing roughly 500 million Tweets per day, or 200 billion Tweets a year. Making this one of the largest human-generated opinion data collections. In addition to this major advantage, Twitter generates real-time data, making it possible to gain insights on trending information instantaneously. People post about a wide variety of subjects, including their opinions, feelings, situations, current trends, and products. This makes it a great data source for analyzing the sentiments of people on a variety of subjects. In this study, out of 1025 research papers on Twitter data analytics from 2011-2017, papers from only 20 selected journals were considered for review. They were then classified based on their year of publication, their titles, data mining methods, and application areas. In the course of this study a tool for the Sentiment Analysis of the Twitter data was developed and used to conduct a case study on individuals on marijuana use during pregnancy.
General note	Presented to the faculty of the Department of Computer Science.
General note	Advisor: Nasseh Tabrizi
General note	Title from PDF t.p. (viewed January 17, 2019).
Dissertation note	M.S. East Carolina University 2018
Bibliography note	Includes bibliographical references.
Technical details	System requirements: Adobe Reader.
Technical details	Mode of access: World Wide Web.
Genre/form	Academic theses.

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Systematic review of literature using Twitter as a tool / by Mudit Pradyumn.

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