1,720,956 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Multitasking deep neural network models for Arabic dialect sentiment analysis
Get PDFPolarity classification or sentiment analysis is considered one of the opinion mining tasks
which distinguishes between the polarities categories (two, three, and five) of opinions
which focus on the degree of the sentiment (such as positive and negative for two
polarities; and positive, neutral and negative for three polarities) that the text may
contain. Limited deep neural network approaches are applied to this task for Arabic
dialects (AD). On the other hand, traditional machine learning algorithms (ML) that are
based on manually extracted features are considered tedious and time dunting, as Arabic
language contains multiple dialects and no word-based order. Therefore, the process of
extracting features such as syntactic and lexical information is more challenging for AD.
According to the literature review, the best registered performance and most used deep
learning model for Arabic sentiment analysis was Convolutional Neural Network
(CNN). The existing convolutional network models are based on wide convolutional
with shallow structure that represents less uniform importance to the features, which is
not capable of representing the entire sentiment information in text sequence and leads
to poor sentiment information detection. Therefore, a Narrow Convolutional Neural
Network (NCNN) is proposed to extract comprehensive sentiment information of text
sequence by maximizing the feature detection range, which gives large uniform
importance to the words and improves the final performance for Arabic dialect
classification tasks (two and three polarities). NCNN achieves its optimum performance
when structured by three convolutional layers. Sensitivity analysis is conducted to
evaluate the impact of various combinations of NCNN structural hyperparameters, such
as the size of pooling, filters, and the number of convolutional filters on the classification
performances. The proposed NCNN achieved a higher macro average recall (R) and
outperforms Naive Bayes (NB) on task A (three polarities) and Voting model on task B
(two polarities) on the SemEval-2017 Arabic dialect Twitter dataset. In addition, the
NCNN model outperforms CNN-ASWAR on Arabic Sentiment Tweets Dataset (ASTD)
with higher F1-score.
The negation words in the Arabic language plays a significant role in SA. Negation words
may cause a sentence's context to be reversed. So far, there has been no effort to handle
the negation context in Arabic using a deep neural network. The existing approaches are
based on traditional machine learning algorithms, such as support vector machine
(SVM). However, these approaches did not consider Arabic dialect negation words. In
addition, these approaches are based on domain specific features and lexicons, which
might not work with other domains.
Ordinal (five polarities) classification problem has received attention in Arabic sentiment
analysis. Most of the applied approaches are based on single task learning (STL) using
machine learning algorithms, such as Logistic Regression (LR) and Hierarchical
Classifier (HC) based on the divide-and-conquer approach. However, these approaches
are based on simple sentence representation. Moreover, these models are based on single
task learning (STL) and lack the ability to learn the relativity between different tasks
(cross-task transfer) and modelling several polarities jointly, such as three and five
polarities.
Therefore, a model called Multi-Tasking Learning based on Convolutional Hierarchical
Attention Neural Network (MTL-CHAN) is proposed, comprising of (i) shared word
encoder and word attention networks across classification tasks, (ii) task-specific layers
with convolutional neural network-based attention (CNNA) on sentence-level; to handle
the Arabic explicit negation words and improve the classification performance by
training Arabic classification tasks (binary, ternary, and five) jointly. The experimental
results showed outstanding performance of the proposed MTL-CHAN model, with high
accuracy of 89.85%, 84.69%, 85.90 on HARD, LABR, and BRAD datasets, respectively,
and higher macro average recall (R) of 0.680% and 0.810% on Twitter Arabic dialects
datasets task A and B respectively. Also, the proposed model achieved higher accuracy
of 95.25%, 87.75%, 86.01%, 90.95% on Hotel, Product, Movie, and Restaurant datasets,
respectively
Variations on the Author
Get PDF“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
Get PDFWe 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
Get PDFWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Author Under Sail The Imagination of Jack London, 1893-1902
No full textIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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