[Humanist] 27.177 pubs: computational intelligence for language cfp; Journal of Scholarly Publishing
Humanist Discussion Group
willard.mccarty at mccarty.org.uk
Mon Jul 1 22:32:54 CEST 2013
Humanist Discussion Group, Vol. 27, No. 177.
Department of Digital Humanities, King's College London
Submit to: humanist at lists.digitalhumanities.org
 From: Erik Cambria <cambria at nus.edu.sg> (54)
Subject: CFP: IEEE Computational Intelligence Magazine (Impact
 From: UTP Journals <thawkic551 at ROGERS.COM> (74)
Subject: Now Available Online - Journal of Scholarly Publishing 44.4
Date: Mon, 1 Jul 2013 09:20:30 +0000
From: Erik Cambria <cambria at nus.edu.sg>
Subject: CFP: IEEE Computational Intelligence Magazine (Impact Factor: 4.629)
Submissions are invited for a special issue on Computational Intelligence for Natural Language Processing of IEEE Computational Intelligence Magazine, which now has a 4.629 impact factor .
Deadline for submission is in one month from today, no extensions will be granted. For more/up-to-date info, please visit http://sentic.net/cinlp
The textual information available on the Web can be broadly grouped into two main categories: facts and opinions. Facts are objective expressions about entities or events. Opinions are usually subjective expressions that describe people's sentiments, appraisals, or feelings towards such entities and events. Much of the existing research on textual information processing has been focused on mining and retrieval of factual information, e.g., text classification, text recognition, text clustering, and many other text mining and natural language processing (NLP) tasks. Little work had been done on the processing of opinions until only recently.
One of the main reasons for the lack of studies on opinions is the fact that there was little opinionated text available before the recent passage from a read-only to a read-write Web. Before that, in fact, when people needed to make a decision, they typically asked for opinions from friends and family. Similarly, when organizations wanted to find the opinions or sentiments of the general public about their products and services, they had to specifically ask people by conducting opinion polls and surveys.
However, with the advent of the Social Web, the way people express their views and opinions has dramatically changed. They can now post reviews of products at merchant sites and express their views on almost anything in Internet forums, discussion groups, and blogs. Such online word-of-mouth behavior represents new and measurable sources of information with many practical applications. Nonetheless, finding opinion sources and monitoring them can be a formidable task because there are a large number of diverse sources and each source may also have a huge volume of opinionated text.
In many cases, in fact, opinions are hidden in long forum posts and blogs. It is extremely time-consuming for a human reader to find relevant sources, extract related sentences with opinions, read them, summarize them, and organize them into usable forms. Thus, automated opinion discovery and summarization systems are needed. Sentiment analysis grows out of this need: it is a very challenging NLP or text mining problem. Due to its tremendous value for practical applications, there has been an explosive growth of both research in academia and applications in the industry.
All the sentiment analysis tasks, however, are very challenging. Our understanding and knowledge of the problem and its solution are still limited. The main reason is that it is a NLP task, and NLP has no easy problems. Another reason may be due to our popular ways of doing research. So far, in fact, researchers have relied a lot on traditional machine learning algorithms. Some of the most effective machine learning algorithms, however, produce no human understandable results. Apart from some superficial knowledge gained in the manual feature engineering process, in fact, such algorithms may achieve improved accuracy, but little about how and why is actually known. All such approaches, moreover, rely on syntactic structure of text, which is far from the way human mind processes natural language.
Articles are thus invited in area of computational intelligence for natural language processing and understanding. The broader context of the Special Issue comprehends artificial intelligence, knowledge representation and reasoning, data mining, artificial neural networks, evolutionary computation, and fuzzy logic. Topics include, but are not limited to:
• Computational intelligence for big social data analysis
• Biologically inspired opinion mining
• Concept-level opinion and sentiment analysis
• Computational intelligence for social media retrieval and analysis
• Computational intelligence for social media marketing
• Social network modeling, simulation, and visualization
• Semantic multi-dimensional scaling for sentiment analysis
• Computational intelligence for patient opinion mining
• Sentic computing
• Multilingual and multimodal sentiment analysis
• Multimodal fusion for continuous interpretation of semantics
• Computational intelligence for time-evolving sentiment tracking
• Computational intelligence for cognitive agent-based computing
• Human-agent, -computer, and -robot interaction
• Domain adaptation for sentiment classification
• Affective common-sense reasoning
• Computational intelligence for user profiling and personalization
• Computational intelligence for knowledge acquisition
August 1st, 2013: Paper submission deadline
September 1st, 2013: Notification of acceptance
October 1st, 2013: Final manuscript due
February, 2014: Publication
The maximum length for the manuscript is typically 25 pages in single column with double-spacing, including figures and references. Authors of papers should specify in the first page of their manuscripts corresponding author’s contact and up to 5 keywords. Submission should be made via email to one of the guest editors below.
• Erik Cambria, National University of Singapore (Singapore)
• Bebo White, Stanford University (USA)
• Tariq S. Durrani, Royal Society of Edinburgh (UK)
• Newton Howard, MIT Media Laboratory (USA)
Erik Cambria, PhD
Cognitive Science Programme
National University of Singapore
5A Engineering Drive 1, Singapore 117411
Email: cambria at nus.edu.sg
Date: Mon, 1 Jul 2013 19:59:25 +0000
From: UTP Journals <thawkic551 at ROGERS.COM>
Subject: Now Available Online - Journal of Scholarly Publishing 44.4 July,2013
Now available online…
Journal of Scholarly Publishing
Volume 44, Number 4, July 2013
This issue contains:
Defining and Characterizing Open Peer Review: A Review of the Literature
Changes in scholarly publishing have resulted in a move toward openness. To this end, new, open models of peer review are emerging. While the scholarly literature has examined and discussed open peer review, no established definition of it exists, nor are there uniform implementations of open peer review processes. This article examines the literature discussing open peer review, identifies common open peer review definitions, and describes eight common characteristics of open peer review: signed review, disclosed review, editor-mediated review, transparent review, crowd-sourced review, pre-publication review, synchronous review, and post-publication review. This article further discusses benefits and challenges to the scholarly publishing community posed by open peer review and concludes that open peer review can and should exist within the current scholarly publishing paradigm. DOI: 10.3138/jsp.44-4-001
Is the E-Reader Mightier? Direct Publishing and Entry Barriers
Jeremy D. Camacho
First-time authors face a choice: Do they pursue traditional publication through major publishing houses, or do they instead utilize online direct publishing? This article examines that choice through the economic lens of entry barriers and considers which barriers block first-time writers from their interests, be they financial or otherwise. The barriers in traditional publishing include the agency process and the acceptance process. The barriers in direct publishing include limited promotion, limited market, and limited editing. This article determines that, more often than not, traditional publishing satisfies a first-time author's interests more so than direct publishing. DOI: 10.3138/jsp.44-4-002
Science and Yiddish Don't Mix: Really?
Mention the word ‘Yiddish’ and images of literary works—novels and plays, short stories and drama, and works on Jewish history—instantly come to mind. But science? Certainly this was not a subject most East European Jews were interested in—or so we have been led to believe. It thus came to the author as a surprise that books on science have, indeed, been published in Yiddish, sometimes translated from other languages but just as often written originally in Yiddish. These works range from popular exposition of scientific subjects to full-length textbooks intended for use by elementary and secondary students at Jewish schools. The author's interest in this aspect of Yiddish books soon led him to collect them. What he found was a true eye opener. DOI: 10.3138/jsp.44-4-003
Publishing in Educational Research Journals: Are Graduate Students Participating?
Jordana Garbati, Boba Samuels
Professional collaboration in academia is valued because it is believed to encourage the generation and synthesis of ideas, to enhance workplace environments, and to comprise a key element in mentoring practices. Collaboration in writing is often of two types: formal co-authorship or informal commentary on colleagues' work. Formal co-authorship is a topic that usually draws more attention for its problems and potential controversies than for its putative benefits. In our study, we examined professional academic co-authorship. Focusing on the field of education, we identified four research sub-fields (general education, educational psychology, language studies, and literacy studies) and analysed academic peer-reviewed journals from each of these sub-fields to establish how much collaboration exists in published articles. We then examined the extent to which graduate students are co-authors in these publications and what role this collaboration takes. Implications for collaboration with and between graduate students are discussed. DOI: 10.3138/jsp.44-4-004
The Current State of Open Access in Journals Sponsored by the China Association for Science and Technology
Ju-fang Shao, Hui-yun Shen, Si-long Zhang, et al.
The open-access (OA) journals among the 1003 journals sponsored by the China Association for Science and Technology (CAST) were identified. Information about the following aspects of the journals were collected and analysed: when each journal was established, its publication cycle, its system model, its region, its discipline, the time between an issue's publication and the posting of the online version, the number of issues that have been made OA, and length of time that it has had an OA policy. On the basis of these results, problems associated with OA journals sponsored by CAST were found and relevant approaches that can promote OA publication in China were recommended. DOI: 10.3138/jsp.44-4-005
Auditing Social Science and Humanities Journals: The View of an Editor in a Malaysian Research University
Radha M. K. Nambiar
It is common practice for a university to have many journals located within different schools and faculties in order to help young researchers publish their work and gain confidence in their writing abilities. The focus of this paper is with the journals that are not listed in databases and cater only to academics within a school to serve as an avenue for publication. When the National University of Malaysia was accorded research university status recently, publications and research became an important indicator of the performance of the university. This led to a new demand for publications in indexed journals and for increasing citations. Hence, it was timely to conduct an ‘in-house evaluation’ of journals within the university, focusing particularly on the social sciences and humanities journals. An evaluation was conducted using the basic criteria for journals included in the database Scopus, and measures were then proposed to improve the journals. This exercise was meant to help the journals that had a long publishing history to rise to the challenges of being scholarly journals in an era of competitiveness, databases and indexes. DOI: 10.3138/jsp.44-4-006
The Status of Peer-Reviewed Research in Sports and Recreation Management: A Critique of Current Practices
N. Jonas Ohrberg
When analysing the current practices in peer-reviewed research and scholarly publications in sports and recreation management, one is required to consider the purpose and audience of the research. The author of the present study suggests that there is a significant gap between the research community of scholars and the practitioners in sports and recreation management. The relationship that currently exists between the author of peer-reviewed works and the reader of the scholarly publications must be redefined. The review of the research and publication process will establish that the research and publication of scholarly manuscripts must be relevant to the daily practices and operations in the professions of sports and recreation management. DOI: 10.3138/jsp.44-4-007
The Visigoth Effect
William W. Savage, Jr.
Practical Tips for Publishing Scholarly Articles: Writing and Publishing in the Helping Professions
Steven E. Gump
Journal of Scholarly Publishing
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