Aus unseren Neuerwerbungen – Digital Humanities 2022.10

Human­i­ties Data Analy­sis: Case Stud­ies With Python
The use of quan­ti­ta­tive meth­ods in the human­i­ties and relat­ed social sci­ences has increased con­sid­er­ably in recent years, allow­ing researchers to dis­cov­er pat­terns in a vast range of source mate­ri­als. Despite this growth, there are few resources addressed to stu­dents and schol­ars who wish to take advan­tage of these pow­er­ful tools. Human­i­ties Data Analy­sis offers the first inter­me­di­ate-lev­el guide to quan­ti­ta­tive data analy­sis for human­i­ties stu­dents and schol­ars using the Python pro­gram­ming lan­guage. This prac­ti­cal text­book, which assumes a basic knowl­edge of Python, teach­es read­ers the nec­es­sary skills for con­duct­ing human­i­ties research in the rapid­ly devel­op­ing dig­i­tal envi­ron­ment.
The book begins with an overview of the place of data sci­ence in the human­i­ties, and pro­ceeds to cov­er data car­pen­try: the essen­tial tech­niques for gath­er­ing, clean­ing, rep­re­sent­ing, and trans­form­ing tex­tu­al and tab­u­lar data. Then, draw­ing from real-world, pub­licly avail­able data sets that cov­er a vari­ety of schol­ar­ly domains, the book delves into detailed case stud­ies. Focus­ing on tex­tu­al data analy­sis, the authors explore such diverse top­ics as net­work analy­sis, genre the­o­ry, ono­mas­tics, lit­er­a­cy, author attri­bu­tion, map­ping, sty­lom­e­try, top­ic mod­el­ing, and time series analy­sis. Exer­cis­es and resources for fur­ther read­ing are pro­vid­ed at the end of each chapter.br
An ide­al resource for human­i­ties stu­dents and schol­ars aim­ing to take their Python skills to the next lev­el, Human­i­ties Data Analy­sis illus­trates the ben­e­fits that quan­ti­ta­tive meth­ods can bring to com­plex research ques­tions.
zum Buch im ULB-Kat­a­log­Plus
zum Buch auf der Ver­lags-Web­site
zur Web­site zum Buch in Form eines Jup­ty­er Book

Research meth­ods for dig­i­tal dis­course analy­sis
Intro­duc­ing the key ques­tions and chal­lenges faced by the researcher of dig­i­tal dis­course, this book pro­vides an overview of the dif­fer­ent method­olog­i­cal dimen­sions asso­ci­at­ed with this type of research. Bring­ing togeth­er a team of experts, chap­ters guide stu­dents and novice researchers through how to con­duct rig­or­ous, accu­rate, and eth­i­cal research with data from a wide range of online plat­forms, includ­ing Face­book, Insta­gram, Twit­ter, YouTube, and online dat­ing apps.
Research Meth­ods for Dig­i­tal Dis­course Analy­sis focus­es on the key issues that any dig­i­tal dis­course ana­lyst must con­sid­er, before tack­ling more spe­cif­ic top­ics and approach­es, includ­ing how to work with mul­ti­lin­gual or mul­ti­modal data. Empha­siz­ing con­crete, prac­ti­cal advice and illus­trat­ed with plen­ti­ful exam­ples from research stud­ies, each chap­ter intro­duces a new research dimen­sion for con­sid­er­a­tion, briefly explor­ing how oth­er dis­course ana­lysts have approached the top­ic before using an in-depth case study to high­light the main chal­lenges and pro­vide guid­ance on method­olog­i­cal deci­sion-mak­ing. Sup­port­ed by a range of ped­a­gog­i­cal tools, includ­ing dis­cus­sion ques­tions and anno­tat­ed fur­ther-read­ing lists, this book is an essen­tial resource for stu­dents and any researcher new to ana­lyz­ing dig­i­tal dis­course.
zum Buch im ULB-Kat­a­log­Plus
zum Buch auf der Ver­lags-Web­site

Weit­ere Titel zu den Dig­i­tal Human­i­ties find­en Sie z.B. über eine Suche im Kat­a­log­Plus.