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Twitter data analytics [electronic resource]

Twitter data analytics [electronic resource]

자료유형
E-Book(소장)
개인저자
Kumar, Shamanth. Morstatter, Fred. Liu, Huan.
서명 / 저자사항
Twitter data analytics [electronic resource] / Shamanth Kumar, Fred Morstatter, Huan Liu.
발행사항
New York, NY :   Springer New York :   Imprint: Springer,   2014.  
형태사항
1 online resource (x, 77 p.) : ill.
총서사항
SpringerBriefs in computer science,2191-5768
ISBN
9781461493723
요약
This brief provides methods for harnessing Twitter data to discover solutions to complex inquiries. The brief introduces the process of collecting data through Twitter’s APIs and offers strategies for curating large datasets. The text gives examples of Twitter data with real-world examples, the present challenges and complexities of building visual analytic tools, and the best strategies to address these issues. Examples demonstrate how powerful measures can be computed using various Twitter data sources. Due to its openness in sharing data, Twitter is a prime example of social media in which researchers can verify their hypotheses, and practitioners can mine interesting patterns and build their own applications. This brief is designed to provide researchers, practitioners, project managers, as well as graduate students with an entry point to jump start their Twitter endeavors. It also serves as a convenient reference for readers seasoned in Twitter data analysis.
일반주기
Title from e-Book title page.  
내용주기
Introduction -- Crawling Twitter Data -- Storing Twitter Data -- Analyzing Twitter Data -- Visualizing Twitter Data.
서지주기
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Twitter. Data mining.
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100 1 ▼a Kumar, Shamanth.
245 1 0 ▼a Twitter data analytics ▼h [electronic resource] / ▼c Shamanth Kumar, Fred Morstatter, Huan Liu.
260 ▼a New York, NY : ▼b Springer New York : ▼b Imprint: Springer, ▼c 2014.
300 ▼a 1 online resource (x, 77 p.) : ▼b ill.
490 1 ▼a SpringerBriefs in computer science, ▼x 2191-5768
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
505 0 ▼a Introduction -- Crawling Twitter Data -- Storing Twitter Data -- Analyzing Twitter Data -- Visualizing Twitter Data.
520 ▼a This brief provides methods for harnessing Twitter data to discover solutions to complex inquiries. The brief introduces the process of collecting data through Twitter’s APIs and offers strategies for curating large datasets. The text gives examples of Twitter data with real-world examples, the present challenges and complexities of building visual analytic tools, and the best strategies to address these issues. Examples demonstrate how powerful measures can be computed using various Twitter data sources. Due to its openness in sharing data, Twitter is a prime example of social media in which researchers can verify their hypotheses, and practitioners can mine interesting patterns and build their own applications. This brief is designed to provide researchers, practitioners, project managers, as well as graduate students with an entry point to jump start their Twitter endeavors. It also serves as a convenient reference for readers seasoned in Twitter data analysis.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Twitter.
650 0 ▼a Data mining.
700 1 ▼a Morstatter, Fred.
700 1 ▼a Liu, Huan.
830 0 ▼a SpringerBriefs in computer science.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-1-4614-9372-3
945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

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No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 006.312 등록번호 E14031377 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

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