LEADER 02081nam2 22004813i 450 001 VAN00211886 005 20250124104125.52 017 70$2N$a9783319983264 100 $a20210913d2018 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aˆ9: ‰Fundamentals of Many-body Physics$fWolfgang Nolting 205 $a2. ed 210 $aCham$cSpringer$d2018 215 $axi, 695 p.$cill.$d24 cm 461 1$1001VAN00175762$12001 $aTheoretical Physics$fWolfgang Nolting$1210 $aCham$cSpringer$d2016-2018$1215 $avolumi$cill.$d24 cm$v9 500 1$3VAN00211889$aGrundkurs Theoretische Physik. 7: Viel-Teilchen-Theorie$92983325 606 $a00A79 (77-XX)$xPhysics [MSC 2020]$3VANC023182$2MF 606 $a81-XX$xQuantum theory [MSC 2020]$3VANC019967$2MF 606 $a82-XX$xStatistical mechanics, structure of matter [MSC 2020]$3VANC021931$2MF 610 $aFeynman diagrams$9KW:K 610 $aGreen's Function$9KW:K 610 $aInteracting Particles Physics$9KW:K 610 $aMany Particle Physics$9KW:K 610 $aMany-body Physics$9KW:K 610 $aMany-body Systems$9KW:K 610 $aMatsubara Technique$9KW:K 610 $aQuasiparticles Physics$9KW:K 610 $aSecond Quantization Physics$9KW:K 610 $aSelfenergies Physics$9KW:K 610 $aTheoretical Physics$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aNolting$bWolfgang$3VANV158481$0506849 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20250912$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-319-98326-4$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN00211886 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-book 3737 $e08eMF3737 20210913 996 $aGrundkurs Theoretische Physik. 7: Viel-Teilchen-Theorie$92983325 997 $aUNICAMPANIA LEADER 07108nam 22007695 450 001 9910483036903321 005 20251113184051.0 010 $a3-030-52680-1 024 7 $a10.1007/978-3-030-52680-1 035 $a(CKB)4100000011610331 035 $a(MiAaPQ)EBC6408044 035 $a(DE-He213)978-3-030-52680-1 035 $a(PPN)25250741X 035 $a(EXLCZ)994100000011610331 100 $a20201124d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aText Analytics $eAdvances and Challenges /$fedited by Domenica Fioredistella Iezzi, Damon Mayaffre, Michelangelo Misuraca 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XI, 302 p. 85 illus., 64 illus. in color.) 225 1 $aStudies in Classification, Data Analysis, and Knowledge Organization,$x2198-3321 311 08$a3-030-52679-8 320 $aIncludes bibliographical references and indexes. 327 $aPART - 1 :Techniques, Methods and Models -- Chapter 1 - Text Analytics: present, past, and future (Domenica Fioredistella Iezzi, Livia Celardo) -- Chapter 2 - Unsupervised analytic strategies to explore large document collections (Michelangelo Misuraca and Maria Spano) -- Chapter 3 - Studying narrative flows by Text Analysis e Network Text Analysis (Cristiano Felaco) -- Chapter 4 - Key passages : from statistics to deep learning (Laurent Vanni, Marco Corneli, Dominique Longree, Damon Maya?re and Frederic Precioso) -- Chapter 5 - Concentration indices for dialogue dominance phenomena in TV series: the case of the Big Bang Theory (Andrea Fronzetti Colladon and Maurizio Naldi).-Chapter 6 - A conversation analysis of interactions in personal ?nance forums (Maurizio Naldi) -- PART - 2 :Dictionaries and specific languages -- Chapter 7 - Big Corpora and Text Clustering: the Italian accounting jurisdiction case (Domenica Fioredistella Iezzi, Rosamaria Berté) -- Chapter 8 - Lexicometric paradoxes of frequency: Comparing VoBIS and NVdB (Luisa Revelli) -- Chapter 9 - Emotions and dense words in emotional text analysis: An invariant or a contextual relationship? (Nadia Battisti, Francesca Dolcetti).-Chapter 10 ? Text Mining of Public Administration documents: preliminary results on judgements (Romano Maria Francesca, Baldassarini Antonella, Pavone Pasquale) -- Chapter 11 - Using the First Axis of a Correspondence Analysis as an Analytic Tool (Bénédicte Pincemin, Alexei Lavrentiev and Céline Guillot-Barbance) -- Chapter 12 - Discursive Functions of French Modal Forms: What can Correspondence Analysis tell us about Genre and Diachronic Variation? (Corinne Rossari, Ljiljana Dolamic, Annalena Hütsch, Claudia Ricci, Dennis Wandel) -- PART - 3 :Multilingual Text Analysis -- Chapter 13 - How to think about finding a sign for a multilingual and multimodal French written / French sign language platform? (Cédric Moreau) -- Chapter 14 - Corpus in ?natural? language vs ?translation? language: LBC corpora, a tool for bilingual lexicographic writing (Annick Farina, Riccardo Billero) -- Chapter 15 - The conditional perfect, a quantitative analysis in English-French comparable-parallel corpora (Daniel Henkel) -- Chapter 16 - Repeated and anaphoric segments applied to trilingual knowledge extraction (Lionel Shen) -- Chapter 17 - Looking for topics: a brief review (Ludovic Lebart) -- PART - 4 :Applications -- Chapter 18 - Where are the Social Sciences going to? The Case of the EU-Funded SSH Research Projects (Matteo Gerli) -- Chapter 19 - Topic modeling of Twitter conversations: the case of the National University of Colombia (Eliana Sanandres) -- Chapter 20 - Analysing occupational safety culture through mass media monitoring (Livia Celardo, Rita Vallerotonda, Daniele De Santis, Claudio Scarici, Antonio Leva) -- Chapter 21 ? What volunteers do? A textual analysis of voluntary activities in the Italian context (Francesco Santelli, Giancarlo Ragozini, Marco Musella) -- Chapter 22 - Free text analysis in electronic clinical documentation (Antonella Bitetto, Luigi Bollani) -- Chapter 23 - Educational culture and job market: A text mining approach (Barbara Cordella, Francesca Greco, Paolo Meoli, Vittorio Palermo & Massimo Grasso). 330 $aFocusing on methodologies, applications and challenges of textual data analysis and related fields, this book gathers selected and peer-reviewed contributions presented at the 14th International Conference on Statistical Analysis of Textual Data (JADT 2018), held in Rome, Italy, on June 12-15, 2018. Statistical analysis of textual data is a multidisciplinary field of research that has been mainly fostered by statistics, linguistics, mathematics and computer science. The respective sections of the book focus on techniques, methods and models for text analytics, dictionaries and specific languages, multilingual text analysis, and the applications of text analytics. The interdisciplinary contributions cover topics including text mining, text analytics, network text analysis, information extraction, sentiment analysis, web mining, social media analysis, corpus and quantitative linguistics, statistical and computational methods, and textual data in sociology, psychology, politics, law and marketing. . 410 0$aStudies in Classification, Data Analysis, and Knowledge Organization,$x2198-3321 606 $aSocial sciences$xStatistical methods 606 $aComputational linguistics 606 $aData mining 606 $aSocial sciences 606 $aHumanities 606 $aStatistics 606 $aApplication software 606 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 606 $aComputational Linguistics 606 $aData Mining and Knowledge Discovery 606 $aHumanities and Social Sciences 606 $aStatistics in Business, Management, Economics, Finance, Insurance 606 $aComputer and Information Systems Applications 615 0$aSocial sciences$xStatistical methods. 615 0$aComputational linguistics. 615 0$aData mining. 615 0$aSocial sciences. 615 0$aHumanities. 615 0$aStatistics. 615 0$aApplication software. 615 14$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 615 24$aComputational Linguistics. 615 24$aData Mining and Knowledge Discovery. 615 24$aHumanities and Social Sciences. 615 24$aStatistics in Business, Management, Economics, Finance, Insurance. 615 24$aComputer and Information Systems Applications. 676 $a401.41021 702 $aMayaffre$b Damon 702 $aMisuraca$b Michelangelo 702 $aIezzi$b Domenica Fioredistella 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483036903321 996 $aText analytics$92208291 997 $aUNINA