Semantics And Social Science

Originally published in 1980, this book examines the major issues in the philosophy of social science, paying specific attention to cross-cultural understanding, humanism versus scientism, individualism versus collectivism, and the shaping of theory by evaluative commitment. Arguing for a cross-cultural conception of human beings, the authors defend humanism and individualism, and reject the notion that social inquiry is necessarily vitiated by an adherence to values.

Semantic Network Analysis in Social Sciences introduces the fundamentals of semantic network analysis and its applications in the social sciences. Readers learn how to easily transform any given text into a visual network of words co-occurring together, a process that allows mapping the main themes appearing in the text and revealing its main narratives and biases. Semantic network analysis is particularly useful today with the increasing volumes of text-based information available. It is one of the developing, cutting-edge methods to organize, identify patterns and structures, and understand the meanings of our information society. The first chapters in this book offer step-by-step guidelines for conducting semantic network analysis, including choosing and preparing the text, selecting desired words, constructing the networks, and interpreting their meanings. Free software tools and code are also presented. The rest of the book displays state-of-the-art studies from around the world that apply this method to explore news, political speeches, social media content, and even to organize interview transcripts and literature reviews. Aimed at scholars with no previous knowledge in the field, this book can be used as a main or a supplementary textbook for general courses on research methods or network analysis courses, as well as a starting point to conduct your own content analysis of large texts.

An introductory linguistics textbook that takes a novel approach: studying linguistic semantics as an exercise in scientific theory construction. This introductory linguistics text takes a novel approach, one that offers educational value to both linguistics majors and nonmajors. Aiming to help students not only grasp the fundamentals of the subject but also engage with broad intellectual issues and develop general intellectual skills, Semantics as Science studies linguistic semantics as an exercise in scientific theory construction. Semantics offers an excellent medium through which to acquaint students with the notion of a formal, axiomatic system—that is, a system that derives results from a precisely articulated set of assumptions according to a precisely articulated set of rules. The book develops semantic theory through the device of axiomatic T-theories, first proposed by Alfred Tarski more than eighty years ago, introducing technical elaboration only when required. It adopts Japanese as its core object of study, allowing students to explore and investigate the real empirical issues arising in the context of non-English structures, a non-English lexicon and non-English meanings. The book is structured as a laboratory science text that poses specific empirical questions, with 25 short units, each of which can be covered in one class session. The layout is engagingly visual, designed to help students understand and retain the material, with lively illustrations, examples, and quotations from famous scholars.

Social Semantics: The Search for Meaning on the Web provides a unique introduction to identity and reference theories of the World Wide Web, through the academic lens of philosophy of language and data-driven statistical models. The Semantic Web is a natural evolution of the Web, and this book covers the URL-based Web architecture and Semantic Web in detail. It has a robust empirical side which has an impact on industry. Social Semantics: The Search for Meaning on the Web discusses how the largest problem facing the Semantic Web is the problem of identity and reference, and how these are the results of a larger general theory of meaning. This book hypothesizes that statistical semantics can solve these problems, illustrated by case studies ranging from a pioneering study of tagging systems to using the Semantic Web to boost the results of commercial search engines. Social Semantics: The Search for Meaning on the Web targets practitioners working in the related fields of the semantic web, search engines, information retrieval, philosophers of language and more. Advanced-level students and researchers focusing on computer science will also find this book valuable as a secondary text or reference book.

Social Networks and the Semantic Web offers valuable information to practitioners developing social-semantic software for the Web. It provides two major case studies. The first case study shows the possibilities of tracking a research community over the Web. It reveals how social network mining from the web plays an important role for obtaining large scale, dynamic network data beyond the possibilities of survey methods. The second case study highlights the role of the social context in user-generated classifications in content, such as the tagging systems known as folksonomies.

Online communities generate massive volumes of natural language data and the social sciences continue to learn how to best make use of this new information and the technology available for analyzing it. Text Mining brings together a broad range of contemporary qualitative and quantitative methods to provide strategic and practical guidance on analyzing large text collections. This accessible book, written by a sociologist and a computer scientist, surveys the fast-changing landscape of data sources, programming languages, software packages, and methods of analysis available today. Suitable for novice and experienced researchers alike, the book will help readers use text mining techniques more efficiently and productively.

A consideration of several regional scenarios based on actual, prolonged, outlying climatic events that have occurred recently in North America. No index. The companion volume to On Meaning (Minnesota, 1987), which focused on semiotic theory. These previously published (in French) texts provide a theoretical and methodological framework for studying discourses in the social sciences. Greimas is professor of general semantics at the Ecole des Hautes Etudes in Sciences Sociales in Paris. Annotation copyrighted by Book News, Inc., Portland, OR

Presenting original, detailed studies of keywords of Danish, this book breaks new ground for the study of language and cultural values. Based on evidence from the semantic categories of everyday language, such as the Danish concept of hygge (roughly meaning, ‘pleasant togetherness’), the book provides an integrative socio-cognitive framework for studying and understanding language-particular universes. It is argued that the worlds we live in are not linguistically and conceptually neutral, but rather that speakers who live by Danish concepts are likely to pay attention to their world in ways suggested by central Danish keywords and lexical grids. By means of a sophisticated semantic methodology, the author accounts for the meanings of even highly culture-specific and untranslatable linguistic concepts. The book offers new tools for comparative research into the diversity of semantic and cultural systems in contemporary Europe. Additionally, it contributes to the emerging discipline of cultural semantics, and to the ongoing debates of linguistic diversity, metalanguage, and the use of linguistic evidence in studies of culture and social cognition.