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Introduction to Information Retrieval
  • Language: en

Introduction to Information Retrieval

Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.

Foundations of Statistical Natural Language Processing
  • Language: en
  • Pages: 680

Foundations of Statistical Natural Language Processing

  • Type: Book
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  • Published: 1999
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  • Publisher: MIT Press

An introduction to statistical natural language processing (NLP). The text contains the theory and algorithms needed for building NLP tools. Topics covered include: mathematical and linguistic foundations; statistical methods; collocation finding; word sense disambiguation; and probalistic parsing.

Sentiment Analysis and Opinion Mining
  • Language: en
  • Pages: 167

Sentiment Analysis and Opinion Mining

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have...

Programming with Mathematica®
  • Language: en

Programming with Mathematica®

Starting from first principles, this book covers all of the foundational material needed to develop a clear understanding of the Mathematica language, with a practical emphasis on solving problems. Concrete examples throughout the text demonstrate how Mathematica can be used to solve problems in science, engineering, economics/finance, computational linguistics, geoscience, bioinformatics, and a range of other fields. The book will appeal to students, researchers and programmers wishing to further their understanding of Mathematica. Designed to suit users of any ability, it assumes no formal knowledge of programming so it is ideal for self-study. Over 290 exercises are provided to challenge the reader's understanding of the material covered and these provide ample opportunity to practice using the language. Mathematica notebooks containing examples, programs and solutions to exercises are available from www.cambridge.org/wellin.

Opinions, Sentiment, and Emotion in Text
  • Language: en
  • Pages: 381

Opinions, Sentiment, and Emotion in Text

This book gives a comprehensive introduction to all the core areas and many emerging themes of sentiment analysis.

Algebraic and Logic Programming
  • Language: en
  • Pages: 283

Algebraic and Logic Programming

This volume contains the proceedings of the First International Workshop on Algebraic and Logic Programming held in Gaussig (German Democratic Republic) from November 14 to 18, 1988. The workshop was devoted to Algebraic Programming, in the sense of programming by algebraic specifications and rewrite rule systems, and Logic Programming, in the sense of Horn clause specifications and resolution systems. This includes combined algebraic/logic programming systems, mutual relations and mutual implementation of programming paradigms, completeness and efficiency considerations in both fields, as well as related topics.

Corpus Processing for Lexical Acquisition
  • Language: en
  • Pages: 245

Corpus Processing for Lexical Acquisition

The lexicon has emerged from the study of computational linguistics as a fundamental resource that enables a variety of linguistic processes to operate in the course of tasks ranging from language analysis and text processing to machine translation. Lexicon acquisition, therefore, plays an essential part in getting any natural language processing system to function in the real world. Computers that process natural language require a variety of lexical information in addition to what can be found in standard dictionaries. Moreover, machine-readable dictionaries of the conventional sort have been found to be inadequate for fully supporting realistic natural language processing tasks. This volu...

Ambiguity in Language Learning Computational and Cognitive Models
  • Language: en
  • Pages: 356
Modeling and Using Context
  • Language: en
  • Pages: 525

Modeling and Using Context

  • Type: Book
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  • Published: 2003-08-05
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  • Publisher: Springer

The refereed proceedings of the 4th International and Interdisciplinary Conference on Modeling and Using Context, CONTEXT 2003, held in Stanford, CA, USA in June 2003. The 31 full papers and 15 short papers presented were carefully reviewed, selected, and revised for inclusion in the book. The papers presented deal with the interdisciplinary topic of modeling and using context from various points of view, ranging through cognitive science, formal logic, artifical intelligence, computational intelligence, philosophical and psychological aspects, and information processing. Highly general philosophical and theoretical issues are complemented by specific applications in various fields.

An Introduction to Empirical Legal Research
  • Language: en
  • Pages: 300

An Introduction to Empirical Legal Research

  • Categories: Law
  • Type: Book
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  • Published: 2014-08-14
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  • Publisher: OUP Oxford

Is the death penalty a more effective deterrent than lengthy prison sentences? Does a judge's gender influence their decisions? Do independent judiciaries promote economic freedom? Answering such questions requires empirical evidence, and arguments based on empirical research have become an everyday part of legal practice, scholarship, and teaching. In litigation judges are confronted with empirical evidence in cases ranging from bankruptcy and taxation to criminal law and environmental infringement. In academia researchers are increasingly turning to sophisticated empirical methods to assess and challenge fundamental assumptions about the law. As empirical methods impact on traditional lega...