Textual Information Access - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Textual Information Access write by Eric Gaussier. This book was released on 2013-02-04. Textual Information Access available in PDF, EPUB and Kindle. This book presents statistical models that have recently been developed within several research communities to access information contained in text collections. The problems considered are linked to applications aiming at facilitating information access: - information extraction and retrieval; - text classification and clustering; - opinion mining; - comprehension aids (automatic summarization, machine translation, visualization). In order to give the reader as complete a description as possible, the focus is placed on the probability models used in the applications concerned, by highlighting the relationship between models and applications and by illustrating the behavior of each model on real collections. Textual Information Access is organized around four themes: informational retrieval and ranking models, classification and clustering (regression logistics, kernel methods, Markov fields, etc.), multilingualism and machine translation, and emerging applications such as information exploration. Contents Part 1: Information Retrieval 1. Probabilistic Models for Information Retrieval, Stéphane Clinchant and Eric Gaussier. 2. Learnable Ranking Models for Automatic Text Summarization and Information Retrieval, Massih-Réza Amini, David Buffoni, Patrick Gallinari, Tuong Vinh Truong and Nicolas Usunier. Part 2: Classification and Clustering 3. Logistic Regression and Text Classification, Sujeevan Aseervatham, Eric Gaussier, Anestis Antoniadis, Michel Burlet and Yves Denneulin. 4. Kernel Methods for Textual Information Access, Jean-Michel Renders. 5. Topic-Based Generative Models for Text Information Access, Jean-Cédric Chappelier. 6. Conditional Random Fields for Information Extraction, Isabelle Tellier and Marc Tommasi. Part 3: Multilingualism 7. Statistical Methods for Machine Translation, Alexandre Allauzen and François Yvon. Part 4: Emerging Applications 8. Information Mining: Methods and Interfaces for Accessing Complex Information, Josiane Mothe, Kurt Englmeier and Fionn Murtagh. 9. Opinion Detection as a Topic Classification Problem, Juan-Manuel Torres-Moreno, Marc El-Bèze, Patrice Bellot and Fréderic Béchet.
Exploring Textual Data
Exploring Textual Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Exploring Textual Data write by Ludovic Lebart. This book was released on 2013-04-17. Exploring Textual Data available in PDF, EPUB and Kindle. Researchers in a number of disciplines deal with large text sets requiring both text management and text analysis. Faced with a large amount of textual data collected in marketing surveys, literary investigations, historical archives and documentary data bases, these researchers require assistance with organizing, describing and comparing texts. Exploring Textual Data demonstrates how exploratory multivariate statistical methods such as correspondence analysis and cluster analysis can be used to help investigate, assimilate and evaluate textual data. The main text does not contain any strictly mathematical demonstrations, making it accessible to a large audience. This book is very user-friendly with proofs abstracted in the appendices. Full definitions of concepts, implementations of procedures and rules for reading and interpreting results are fully explored. A succession of examples is intended to allow the reader to appreciate the variety of actual and potential applications and the complementary processing methods. A glossary of terms is provided.
Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications write by Gary Miner. This book was released on 2012-01-11. Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications available in PDF, EPUB and Kindle. "The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities"--
Text- and Speech-Triggered Information Access
Text- and Speech-Triggered Information Access - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Text- and Speech-Triggered Information Access write by Steve Renals. This book was released on 2003-09-09. Text- and Speech-Triggered Information Access available in PDF, EPUB and Kindle. This book presents revised versions of the lectures given at the 8th ELSNET European Summer School on Language and Speech Communication held on the Island of Chios, Greece, in summer 2000. Besides an introductory survey, the book presents lectures on data analysis for multimedia libraries, pronunciation modeling for large vocabulary speech recognition, statistical language modeling, very large scale information retrieval, reduction of information variation in text, and a concluding chapter on open questions in research for linguistics in information access. The book gives newcomers to language and speech communication a clear overview of the main technologies and problems in the area. Researchers and professionals active in the area will appreciate the book as a concise review of the technologies used in text- and speech-triggered information access.
Comparative Evaluation of Multilingual Information Access Systems
Comparative Evaluation of Multilingual Information Access Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Comparative Evaluation of Multilingual Information Access Systems write by Cross-Language Evaluation Forum. Workshop. This book was released on 2004-11-29. Comparative Evaluation of Multilingual Information Access Systems available in PDF, EPUB and Kindle. This book constitutes the thoroughly refereed postproceedings of the 4th Workshop of the Cross-Language Evaluation Forum, CLEF 2003, held in Trondheim, Norway in August 2003. The 61 revised papers presented together with an introduction were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on mainly cross-language experiments, mono lingual experiments, domain-specific document retrieval, interactive cross-language retrieval, cross-language question answering, cross-language image retrieval, and cross-language spoken document retrieval.
