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Encore trop méconnue des Humanités, l'Intelligence artificielle ébranle les pratiques scientifiques et les certitudes. Appliquée aux textes - corpus littéraires, corpus politiques, textes français, textes latins - elle dévoile ses avantages et ses limites.Sous conditions, la digitalisation de masse de la culture vivifie les sciences et les arts du texte.La sémantique de corpus tire bénéfice des données massives à condition qu'elles soient circonscrites. L'algorithmique et la puissance de calcul excellent sous condition de se départir des prétentions probatoires au profit d'autres objectifs : explorer, interroger, décrire.En passant de la fixité du folio à la dynamique de l'écran, les textes s'ouvrent sur des parcours de lecture inédits, appuyés sur de nouveaux objets tels que les motifs.Seulement, les programmes de deep learning décrits dans cet ouvrage - avant tout, les modèles convolutionnels - ne peuvent rester plus longtemps une boite noire. Les couches cachées des réseaux de neurones artificiels n'ont d'intérêt que lorsqu'elles nourrissent les parcours interprétatifs et caractérisent des passages.C'est donc la profondeur herméneutique de l'approche numérique qui est exploitée ici. En donnant une autre représentation des corpus, en révélant les structures sous-jacentes des textes, en faisant émerger de nouveaux observables, l'Intelligence artificielle épaule l'herméneute et le philologue.Dans cet ouvrage, la machine apprend du corpus, classe les textes et décrit les grandeurs textuelles pertinentes ; reste aux chercheurs, linguistes, informaticiens, historiens, statisticiens le plaisir de comprendre.

Apprentissage profond. --- Intelligence artificielle --- Sémantique. --- Artificial intelligence. Robotics. Simulation. Graphics --- Mathematical linguistics --- Analyse du discours --- Informatique --- Analyse du discours - Informatique --- Criticism --- Text data mining. --- Literature and technology. --- Hypertext literature. --- Data processing.

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Text data mining. --- Information retrieval. --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Documentation --- Information science --- Information storage and retrieval systems --- Text mining --- Text analysis (Data mining) --- Text analytics --- Computational linguistics --- Data mining

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This book discusses various aspects of text data mining. Unlike other books that focus on machine learning or databases, it approaches text data mining from a natural language processing (NLP) perspective. The book offers a detailed introduction to the fundamental theories and methods of text data mining, ranging from pre-processing (for both Chinese and English texts), text representation and feature selection, to text classification and text clustering. It also presents the predominant applications of text data mining, for example, topic modeling, sentiment analysis and opinion mining, topic detection and tracking, information extraction, and automatic text summarization. Bringing all the related concepts and algorithms together, it offers a comprehensive, authoritative and coherent overview. Written by three leading experts, it is valuable both as a textbook and as a reference resource for students, researchers and practitioners interested in text data mining. It can also be used for classes on text data mining or NLP

Text data mining. --- Text mining --- Text analysis (Data mining) --- Text analytics --- Computational linguistics --- Data mining --- Machine learning. --- Data mining. --- Natural language processing (Computer science) --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Learning, Machine --- Machine theory

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What is literature? Can we measure 'literariness' in texts themselves? The innovative Computational Humanities project The Riddle of Literary Quality asked thousands of Dutch readers for their opinion about contemporary Dutch and translated novels. The public shared which novels they had read, what they really thought of them, and how they judged their quality. Their judgments of the same novels were compared with the results of computational analysis of the books. Using evidence from almost 14,000 readers and building on more textual data than ever before, Van Dalen-Oskam and her team uncovered unconscious biases that shed new light on prejudices many people assumed no longer existed. This monograph explains in an accessible way how the project unfolded, which methods were used, and how the results may change the future of Literary Studies.

Criticism --- Cultural studies. --- Digital humanities --- Dutch literature --- LANGUAGE ARTS & DISCIPLINES / Publishing. --- LANGUAGE ARTS & DISCIPLINES / Writing / Fiction Writing. --- LITERARY CRITICISM / Books & Reading. --- Literary studies: c 1900 to c 2000. --- Literary studies: from c 1900 -. --- Literary studies: from c 2000. --- Modern and contemporary fiction (post c 1945). --- Text data mining --- Data processing. --- History and criticism. --- Computational Literary Studies, Literary fiction, Bestsellers, Bias, Readability.

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Devoted to research and scholarship in digital editions of texts, digital libraries; digital archives and memory; examination and analysis of multimedia resources; text mining and data mining, stylometry, topic modeling, sentiment analysis; georeferencing, maps, visualization tools ; corpus linguistics, Natural Language Processing (NLP) ; digital media, digitization, curatorship and preservation of digital objects.

digital humanities --- computing technologies --- digital technologies --- Electronic journals --- Humanities --- Digital libraries --- Text data mining --- Sentiment analysis --- Corpora (Linguistics) --- Natural language processing (Computer science) --- Digital preservation --- Periodicals --- Spain --- digital archives --- digital media --- digitization --- Text analysis (Data mining) --- Text analytics --- Text mining --- Computational linguistics --- Data mining --- Digital curation --- Digital media collections --- Digital media libraries --- Digital repositories --- Electronic libraries --- Electronic publication collections --- Electronic publication libraries --- Electronic text collections --- Repositories, Digital --- Virtual libraries --- Libraries --- Information storage and retrieval systems --- Web archives --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Corpus-based analysis (Linguistics) --- Corpus linguistics --- Linguistic analysis (Linguistics) --- Analysis, Sentiment --- Extraction, Opinion --- Mining, Opinion --- Mining, Sentiment --- Opinion extraction --- Opinion mining --- Sentiment mining --- Cyber journals --- Cyber magazines --- Cyber periodicals --- Cyber serials --- E-journals --- Ejournals --- Electronic magazines --- Electronic periodicals --- Electronic serials --- Internet journals (Electronic publications) --- Internet magazines (Electronic publications) --- Internet periodicals (Electronic publications) --- Internet serials (Electronic publications) --- Online journals --- Online magazines --- Online periodicals --- Online serials --- Periodicals in machine-readable form --- Web journals (Electronic publications) --- Web magazines (Electronic publications) --- Web periodicals (Electronic publications) --- Web serials (Electronic publications) --- World Wide Web journals (Electronic publications) --- World Wide Web magazines (Electronic publications) --- World Wide Web periodicals (Electronic publications) --- World Wide Web serials (Electronic publications) --- Electronic publications --- Espagne --- Espainiako Erresuma --- España --- Espanha --- Espanja --- Espanya --- Estado Español --- Hispania --- Hiszpania --- Isupania --- Kingdom of Spain --- Regne d'Espanya --- Reiaume d'Espanha --- Reino de España --- Reino d'Espanya --- Reinu d'España --- Sefarad --- Sepharad --- Shpanie --- Shpanye --- Spanien --- Spanish State --- Supein