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02680aam a22003618i 4500 001 09E49844DABF11EEBE8532184BECA4DB 003 SILO 005 20240305010131 008 230331s2024 nyu b 001 0 eng 010 $a 2023005250 020 $a 1032125705 020 $a 9781032125701 035 $a (OCoLC)1382528274 040 $a DLC $b eng $e rda $c DLC $d OCLCF $d OCLCO $d SILO 042 $a pcc 050 00 $a P120 I6 D5 2024 100 1 $a Di Cristofaro, Matteo, $e author. 245 10 $a Corpus approaches to language in social media / $c Matteo Di Cristofaro. 264 1 $a New York, NY : $b Routledge, $c 2024. 300 $a x, 386 pages : $b illustrations ; $c 24 cm 490 0 $a Routledge advances in corpus linguistics 504 $a Includes bibliographical references and index. 505 0 $a Language and social media -- Language in social media -- Corpus design -- Corpus creation -- Corpus analysis -- Case studies -- Concluding remarks. 520 $a "This book showcases the unique possibilities of corpus linguistic methodologies in engaging with and analysing language data from social media, surveying current approaches and offering guidelines and best practices for doing language analysis. The volume provides an overview of how language in social media has been approached by both linguists and non-linguists, before digging deeper into the identification of datasets needs to fill linguistic investigations of social media and the technical aspects of particular platforms which may influence analysis, such as emoticons, retweets, and metadata. Sample Python code, along with general guidelines for using it, are provided to empower researchers to apply these techniques in their own work, supported by actual examples from three real-life case studies. Di Cristofaro highlights the full potential of using these methodologies in analysing social media language data and the ways in which they might pave the way for future applications of data analysis and processing for corpus linguistics. The book will be key reading for researchers in corpus linguistics and linguists and social scientists interested in data-driven analysis of social media"-- $c Provided by publisher. 650 0 $a Language and the Internet. 650 0 $a Internet users $x Language. 650 0 $a Social media. 650 0 $a Corpora (Linguistics) 776 08 $i Online version: $a Di Cristofaro, Matteo. $t Corpus approaches to language in social media $d New York, NY : Routledge, 2024 $z 9781003225218 $w (DLC) 2023005251 941 $a 1 952 $l USUX851 $d 20240403013531.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=09E49844DABF11EEBE8532184BECA4DB 994 $a C0 $b IWAInitiate Another SILO Locator Search