1,721,161 research outputs found

    Strategic models of industrial exit : theory and a study of U.S. duopoly newspaper markets

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    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Economics, 1989.Includes bibliographical references.by Ralph David Simpson.Ph.D

    Insights from heterogeneous data through transitive semantic relationships and text analytics

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    Many organisations are finding that the volume of information they need to analyse to make effective decisions is increasing. An important element in effective decision making is the ability to prioritise information quickly and accurately from a variety of sources. Technology tools are widely used to aid decision making through analysis and visualisation of numeric data, leveraging structured knowledge as in expert systems, or identifying items based on known existing relationships and content information as in recommender systems. However, producing similar insights from unstructured text documents of varying formats, intents, and domains, with little prior knowledge or labelling, remains an open problem. This thesis takes the approach of using machine understanding of natural language text and the semantic content of documents as the basis for downstream tasks of recommendation, visualisation, summarisation, clustering, and topic naming to highlight key areas of interest in large heterogeneous datasets. The approach builds on both traditional techniques and recent advances in machine learning and natural language processing and combines and supplements them to address issues including sparse labelling, the cold-start problem, and the explainability of results. A novel recommendation algorithm, Transitive Semantic Relationships (TSR) is proposed to address challenging cases of the cold-start problem and is demonstrated as an effective tool for identifying supply chain relationships using company descriptions and a small number of known relationships. For the more general problem of finding meaning in large collections of unstructured text, this thesis proposes and demonstrates a methodology for combining several existing text analytics techniques to produce an overview of the distribution and typical content of key topics present in the data. This method is demonstrated for varied examples including a survey of experts concerns regarding the COVID-19 pandemic in the United Kingdom, the descriptions of businesses on the Isle of Wight, and the descriptions of 2500 TED talks. A webbased tool, the Text Insights Pipeline (TIP) is presented enabling non-experts to make use of this approach for analysis of other collections of unstructured text. This thesis concludes that semantic understanding of text through deep learning coupled with explainable downstream algorithms is an effective basis for producing explainable insights and representative overviews of large unstructured text datasets. The contributions of this thesis have already seen adoption in industry, government, and research, and have the potential for making previously indigestible datasets open to analysis by aiding in the presentation and organisation of unstructured text data

    Ralph David Abernathy Hall

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    This 134,000-square-foot building is home to the College of Education. It houses labs, classrooms and the Educational Leadership Policy and Law doctoral program. The building is the university’s second largest facility and features simulated classrooms, research and development laboratories, a 545-seat auditorium, and stately rotunda designated as a “Great Teachers Memorial Hall.” An outdoor courtyard provides students and faculty with a beautiful space to relax, socialize or study. The building is named in honor of 1950 ASU graduate, Rev. Ralph David Abernathy. In 1955, Rev. Abernathy helped to organize a successful boycott of Montgomery buses. Abernathy then assumed the presidency of the Montgomery Improvement Association (MIA) when Rev. Martin Luther King Jr. left the Alabama capitol city in 1960. Abernathy collaborated with Rev. King in co-founding the Southern Christian Leadership Conference (SCLC), an organization whose leadership Abernathy would assume after King’s assassination. Through Abernathy’s work with this civil rights organization, he became one of the nation’s foremost champions of civil rights

    Statement by Rev. Joseph E. Lowery on Dr. Ralph David Abernathy's Death, April 17, 1990

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    A statement by Reverend Joseph E. Lowery on Dr. Ralph David Abernathy's death. 1 page.The Atlanta University Center Robert W. Woodruff Library acknowledges the generous support of the Joseph & Evelyn Lowery Institute for Justice and Human Rights, the Joseph Echols Lowery Irrevocable Trust, and other donors in supporting the processing and digitization of Morehouse College's Joseph Echols and Evelyn Gibson Lowery Collection

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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