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This research was conducted to outline the capturing and analysis of composite texts. We contextualize this using selfies as image and textual data sourced from Instagram and analyzed using a three stage analysis approach from a genre perspective.

The capturing of composite texts is outlined for numerous services available to researchers to study social media contexts. The analysis applies a three-stage technique of (1) what is shown, (2) what is said, and (3) what is the central narrative to overcome interpretive limitations of privileging text over image or vice versa.

Based on their structural characteristics, seven genre types emerged from the coded sample set.

Issues arise in capturing this data as social media platforms change their access and usage policies and as capturing services alter their capabilities.

The paper outlines a novel approach to capturing and understanding the mimesis and diegesis of selfies as composite texts.

Examines the fourteenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

This essay demonstrates how information systems — collections of documents, data, or other information-bearing objects — function internally as sites for creative manipulation of genre resources. In the information systems context, these textual activities are not clearly traced to the purposeful actions of specific writers.

Genre development for information systems can result from actions that may appear individually to be rote, repetitive, passive, and uninteresting. But as these actions are aggregated at increasing scales, genre components interact and shift, even if change is limited to one element of the larger assemblage. Although these changes may not be initiated by writers in accordance with targeted work activities and associated rhetorical goals, the composite texts thus produced are nonetheless powerful documents that come to partially constitute the broader activities they appear to merely support.

In demonstrating “writerless” phenomena of genre change in distributed, regulated systems, this essay complements and extends the strong body of existing work in genre studies that emphasizes the writer’s perspective and agency in its accounts of genre development. By showing how continually evolving compound documents such as digital libraries constitute such sites of unacknowledged genre change, this essay demonstrates how the social actions that these composite documents facilitate for their users also change.

Examines the fifthteenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

To evaluate and extend, existing natural language processing techniques into the domain of informal online political discussions.

A database of postings from a US political discussion site was collected, along with self‐reported political orientation data for the users. A variety of sentiment analysis, text classification, and social network analysis methods were applied to the postings and evaluated against the users' self‐descriptions.

Purely text‐based methods performed poorly, but could be improved using techniques which took into account the users' position in the online community.

The techniques we applied here are fairly simple, and more sophisticated learning algorithms may yield better results for text‐based classification.

This work suggests that social network analysis is an important tool for performing natural language processing tasks with informal web texts.

This research extends sentiment analysis to a new subject domain (US politics) and a new text genre (informal online discusssions).

Current segmentation systems almost invariably focus on linear segmentation and can only divide text into linear sequences of segments. This suits cohesive text such as news feed but not coherent texts such as documents of a digital library which have hierarchical structures. To overcome the focus on linear segmentation in document segmentation and to realize the purpose of hierarchical segmentation for a digital library’s structured resources, this paper aimed to propose a new multi-granularity hierarchical topic-based segmentation system (MHTSS) to decide section breaks.

MHTSS adopts up-down segmentation strategy to divide a structured, digital library document into a document segmentation tree. Specifically, it works in a three-stage process, such as document parsing, coarse segmentation based on document access structures and fine-grained segmentation based on lexical cohesion.

This paper analyzed limitations of document segmentation methods for the structured, digital library resources. Authors found that the combination of document access structures and lexical cohesion techniques should complement each other and allow for a better segmentation of structured, digital library resources. Based on this finding, this paper proposed the MHTSS for the structured, digital library resources. To evaluate it, MHTSS was compared to the TT and C99 algorithms on real-world digital library corpora. Through comparison, it was found that the MHTSS achieves top overall performance.

With MHTSS, digital library users can get their relevant information directly in segments instead of receiving the whole document. This will improve retrieval performance as well as dramatically reduce information overload.

This paper proposed MHTSS for the structured, digital library resources, which combines the document access structures and lexical cohesion techniques to decide section breaks. With this system, end-users can access a document by sections through a document structure tree.

The purpose of this paper is to understand the needs of humanists with respect to information and communication technology (ICT) in order to prescribe the design of an e‐humanist's workbench.

A web‐based survey comprising over 60 questions gathered the following data from 169 humanists: profile of the humanist, use of ICT in teaching, e‐texts, text analysis tools, access to and use of primary and secondary sources, and use of collaboration and communication tools.

Humanists conduct varied forms of research and use multiple techniques. They rely on the availability of inexpensive, quality‐controlled e‐texts for their research. The existence of primary sources in digital form influences the type of research conducted. They are unaware of existing tools for conducting text analyses, but expressed a need for better tools. Search engines have replaced the library catalogue as the key access tool for sources. Research continues to be solitary with little collaboration among scholars.

The results are based on a self‐selected sample of humanists who responded to a web‐based survey. Future research needs to examine the work of the scholar at a more detailed level, preferably through observation and/or interviewing.

The findings support a five‐part framework that could serve as the basis for the design of an e‐humanist's workbench.

The paper examines the needs of the humanist, founded on an integration of information science research and humanities computing for a more comprehensive understanding of the humanist at work.

The purpose of this paper is to present an intelligent mobile based emergency response system (MERS) framework, a text information extraction and aggregation algorithm to integrate information from multiple sources in the MERS system, and an ontology‐supported case‐based reasoning system for the MERS system.

The paper explains the components of information extraction and aggregation process, and a CBR‐Ontology approach for the MERS system.

The result of this study will offer a new opportunity to the interaction between government, citizens, responders, and other non‐government agencies in emergency situations, and therefore improve the services of the government in an emergency situation.

The paper indicates the need for usage of mobile technologies to assist the government to get information and make decisions in responding to disasters anytime and anywhere.

Today's and, to a greater extent, tomorrow's technologies in the Printed Circuit Industry need — besides very stringent challenges on quality — a very careful, precise and cost effective selection of valuable materials and sophisticated techniques in order to achieve optimal relationships between the costs and benefits of each technology. A survey of materials, their costs, technical requirements and also of alternative methods is given — today's and tomorrow's state‐of‐the‐art.