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[null,"1.","Record Nr.",null,"UNISALENTO991002019789707536"]
[null,null,"Autore",null,"Giunta, Fausto"]
[null,null,"Titolo",null,"Interessi privati e deflazione penale nell'uso della querela / Fausto Giunta"]
[null,null,"Pubbl/distr/stampa",null,"Milano : A. Giuffrè, 1993"]
[null,null,"ISBN",null,"8814039925"]
[null,null,"Descrizione fisica",null,"vi, 226 p. ; 24 cm."]
[null,null,"Collana",null,"Pubblicazioni della Facoltà di giurisprudenza. Università di Firenze ; 71"]
[null,null,"Classificazione",null,"PEN-VIII/A"]
[null,null,"Disciplina",null,"345.4505"]
[null,null,"Soggetti",null,"Querela"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910709613203321"]
[null,null,"Autore",null,"Volkert Richard A."]
[null,null,"Titolo",null,"Late Proterozoic diabase dikes of the New Jersey Highlands : a remnant of Iapetan rifting in the north-central Appalachians / / by Richard A. Volkert and John H. Puffer"]
[null,null,"Pubbl/distr/stampa",null,"Washington : , : United States Government Printing Office, , 1995"]
[null,null,"Descrizione fisica",null,"1 online resource (iv pages, 22 unnumbered pages) : illustrations, map"]
[null,null,"Collana",null,"Geologic studies in New Jersey and eastern Pennsylvania ; ; A"]
[{"$nulls":4},"U.S. Geological Survey professional paper ; ; 1565"]
[null,null,"Soggetti",null,"Dikes (Geology) - New Jersey - New Jersey Highlands"]
[{"$nulls":4},"Diabase - New Jersey - New Jersey Highlands"]
[{"$nulls":4},"Geology, Stratigraphic - Proterozoic"]
[{"$nulls":4},"Geology - New Jersey - New Jersey Highlands"]
[{"$nulls":4},"Diabase"]
[{"$nulls":4},"Dikes (Geology)"]
[{"$nulls":4},"Geology"]
[{"$nulls":4},"Geology, Stratigraphic"]
[{"$nulls":4},"Proterozoic Geologic Period"]
[{"$nulls":4},"New Jersey Highlands (N.J.)"]
[{"$nulls":4},"New Jersey New Jersey Highlands"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","\"Prepared in cooperation with the New Jersey Geological Survey.\""]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (pages 20-21)."]
[null,"3.","Record Nr.",null,"UNINA9910299459603321"]
[null,null,"Autore",null,"Aggarwal Charu C"]
[null,null,"Titolo",null,"Machine Learning for Text / / by Charu C. Aggarwal"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018"]
[null,null,"ISBN",null,"3-319-73531-4"]
[null,null,"Edizione",null,"[1st ed. 2018.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XXIII, 493 p. 80 illus., 4 illus. in color.)"]
[null,null,"Disciplina",null,"006.31"]
[null,null,"Soggetti",null,"Data mining"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Artificial Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"1 An Introduction to Text Analytics -- 2 Text Preparation and Similarity Computation -- 3 Matrix Factorization and Topic Modeling -- 4 Text Clustering -- 5 Text Classification: Basic Models -- 6 Linear Models for Classification and Regression -- 7 Classifier Performance and Evaluation -- 8 Joint Text Mining with Heterogeneous Data -- 9 Information Retrieval and Search Engines -- 10 Text Sequence Modeling and Deep Learning -- 11 Text Summarization -- 12 Information Extraction -- 13 Opinion Mining and Sentiment Analysis -- 14 Text Segmentation and Event Detection."]
[null,null,null,"Sommario/riassunto","Text analytics is a field that lies on the interface of information retrieval, machine learning, and natural language processing. This book carefully covers a coherently organized framework drawn from these intersecting topics. The chapters of this book span three broad categories: 1. Basic algorithms: Chapters 1 through 8 discuss the classical algorithms for text analytics such as preprocessing, similarity computation, topic modeling, matrix factorization, clustering, classification, regression, and ensemble analysis. 2. Domain-sensitive learning: Chapters 8 and 9 discuss learning models in heterogeneous settings such as a combination of text with multimedia or Web links. The problem of information retrieval and Web search is also discussed in the context of its relationship with ranking and machine learning methods. 3. Sequence-centric mining: Chapters 10 through 14 discuss various sequence-centric and natural language applications, such as "]
[{"$nulls":4},"feature engineering, neural language models, deep learning, text summarization, information extraction, opinion mining, text segmentation, and event detection. This book covers text analytics and machine learning topics from the simple to the advanced. Since the coverage is extensive, multiple courses can be offered from the same book, depending on course level."]