-
Thelwall, M.; Buckley, K.; Paltoglou, G.: Sentiment strength detection for the social web (2012)
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- Abstract
- Sentiment analysis is concerned with the automatic extraction of sentiment-related information from text. Although most sentiment analysis addresses commercial tasks, such as extracting opinions from product reviews, there is increasing interest in the affective dimension of the social web, and Twitter in particular. Most sentiment analysis algorithms are not ideally suited to this task because they exploit indirect indicators of sentiment that can reflect genre or topic instead. Hence, such algorithms used to process social web texts can identify spurious sentiment patterns caused by topics rather than affective phenomena. This article assesses an improved version of the algorithm SentiStrength for sentiment strength detection across the social web that primarily uses direct indications of sentiment. The results from six diverse social web data sets (MySpace, Twitter, YouTube, Digg, Runners World, BBC Forums) indicate that SentiStrength 2 is successful in the sense of performing better than a baseline approach for all data sets in both supervised and unsupervised cases. SentiStrength is not always better than machine-learning approaches that exploit indirect indicators of sentiment, however, and is particularly weaker for positive sentiment in news-related discussions. Overall, the results suggest that, even unsupervised, SentiStrength is robust enough to be applied to a wide variety of different social web contexts.
-
Beghtol, C.: Toward a theory of fiction analysis for information storage and retrieval (1992)
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- Abstract
- This paper examnines various isues that arise in establishing a theoretical basis for an experimental fiction analysis system. It analyzes the warrants of fiction and of works about fiction. From this analysis, it derives classificatory requirements for a fiction system. Classificatory techniques that may contribute to the specification of data elements in fiction are suggested
- Date
- 5. 8.2006 13:22:08
-
Greisdorf, H.; O'Connor, B.: Modelling what users see when they look at images : a cognitive viewpoint (2002)
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- Abstract
- Analysis of user viewing and query-matching behavior furnishes additional evidence that the relevance of retrieved images for system users may arise from descriptions of objects and content-based elements that are not evident or not even present in the image. This investigation looks at how users assign pre-determined query terms to retrieved images, as well as looking at a post-retrieval process of image engagement to user cognitive assessments of meaningful terms. Additionally, affective/emotion-based query terms appear to be an important descriptive category for image retrieval. A system for capturing (eliciting) human interpretations derived from cognitive engagements with viewed images could further enhance the efficiency of image retrieval systems stemming from traditional indexing methods and technology-based content extraction algorithms. An approach to such a system is posited.
- Source
- Journal of documentation. 58(2002) no.1, S.6-29
-
Caldera-Serrano, J.: Thematic description of audio-visual information on television (2010)
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- Abstract
- Purpose - This paper endeavours to show the possibilities for thematic description of audio-visual documents for television with the aim of promoting and facilitating information retrieval. Design/methodology/approach - To achieve these goals different database fields are shown, as well as the way in which they are organised for indexing and thematic element description, analysed and used as an example. Some of the database fields are extracted from an analytical study of the documentary system of television in Spain. Others are being tested in university television on which indexing experiments are carried out. Findings - Not all thematic descriptions are used on television information systems; nevertheless, some television channels do use thematic descriptions of both image and sound, applying thesauri. Moreover, it is possible to access sequences using full text retrieval as well. Originality/value - The development of the documentary task, applying the described techniques, promotes thematic indexing and hence thematic retrieval. Given the fact that this is without doubt one of the aspects most demanded by television journalists (along with people's names). This conceptualisation translates into the adaptation of databases to new indexing methods.
- Date
- 29. 8.2010 12:40:35
-
Raieli, R.: ¬The semantic hole : enthusiasm and caution around multimedia information retrieval (2012)
0.02
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- Abstract
- This paper centres on the tools for the management of new digital documents, which are not only textual, but also visual-video, audio or multimedia in the full sense. Among the aims is to demonstrate that operating within the terms of generic Information Retrieval through textual language only is limiting, and it is instead necessary to consider ampler criteria, such as those of MultiMedia Information Retrieval, according to which, every type of digital document can be analyzed and searched by the proper elements of language for its proper nature. MMIR is presented as the organic complex of the systems of Text Retrieval, Visual Retrieval, Video Retrieval, and Audio Retrieval, each of which has an approach to information management that handles the concrete textual, visual, audio, or video content of the documents directly, here defined as content-based. In conclusion, the limits of this content-based objective access to documents is underlined. The discrepancy known as the semantic gap is that which occurs between semantic-interpretive access and content-based access. Finally, the integration of these conceptions is explained, gathering and composing the merits and the advantages of each of the approaches and of the systems to access to information.
- Date
- 22. 1.2012 13:02:10
- Footnote
- Bezugnahme auf: Enser, P.G.B.: Visual image retrieval. In: Annual review of information science and technology. 42(2008), S.3-42.
- Source
- Knowledge organization. 39(2012) no.1, S.13-22
-
Austin, J.; Pejtersen, A.M.: Fiction retrieval: experimental design and evaluation of a search system based on user's value criteria. Pt.1 (1983)
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-
White, M.D.; Marsh, E.E.: Content analysis : a flexible methodology (2006)
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- Abstract
- Content analysis is a highly flexible research method that has been widely used in library and information science (LIS) studies with varying research goals and objectives. The research method is applied in qualitative, quantitative, and sometimes mixed modes of research frameworks and employs a wide range of analytical techniques to generate findings and put them into context. This article characterizes content analysis as a systematic, rigorous approach to analyzing documents obtained or generated in the course of research. It briefly describes the steps involved in content analysis, differentiates between quantitative and qualitative content analysis, and shows that content analysis serves the purposes of both quantitative research and qualitative research. The authors draw on selected LIS studies that have used content analysis to illustrate the concepts addressed in the article. The article also serves as a gateway to methodological books and articles that provide more detail about aspects of content analysis discussed only briefly in the article.
- Source
- Library trends. 55(2006) no.1, S.22-45
-
Marsh, E.E.; White, M.D.: ¬A taxonomy of relationships between images and text (2003)
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- Abstract
- The paper establishes a taxonomy of image-text relationships that reflects the ways that images and text interact. It is applicable to all subject areas and document types. The taxonomy was developed to answer the research question: how does an illustration relate to the text with which it is associated, or, what are the functions of illustration? Developed in a two-stage process - first, analysis of relevant research in children's literature, dictionary development, education, journalism, and library and information design and, second, subsequent application of the first version of the taxonomy to 954 image-text pairs in 45 Web pages (pages with educational content for children, online newspapers, and retail business pages) - the taxonomy identifies 49 relationships and groups them in three categories according to the closeness of the conceptual relationship between image and text. The paper uses qualitative content analysis to illustrate use of the taxonomy to analyze four image-text pairs in government publications and discusses the implications of the research for information retrieval and document design.
-
Morehead, D.R.; Pejtersen, A.M.; Rouse, W.B.: ¬The value of information and computer-aided information seeking : problem formulation and application to fiction retrieval (1984)
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- Abstract
- Issues concerning the formulation and application of a model of how humans value information are examined. Formulation of a value function is based on research from modelling, value assessment, human information seeking behavior, and human decision making. The proposed function is incorporated into a computer-based fiction retrieval system and evaluated using data from nine searches. Evaluation is based on the ability of an individual's value function to discriminate among novels selected, rejected, and not considered. The results are discussed in terms of both formulation and utilization of a value function as well as the implications for extending the proposed formulation to other information seeking environments
-
Hjoerland, B.: Towards a theory of aboutness, subject, topicality, theme, domain, field, content ... and relevance (2001)
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- Abstract
- Theories of aboutness and theories of subject analysis and of related concepts such as topicality are often isolated from each other in the literature of information science (IS) and related disciplines. In IS it is important to consider the nature and meaning of these concepts, which is closely related to theoretical and metatheoretical issues in information retrieval (IR). A theory of IR must specify which concepts should be regarded as synonymous concepts and explain how the meaning of the nonsynonymous concepts should be defined
- Date
- 29. 9.2001 14:03:14
-
Taylor, S.L.: Integrating natural language understanding with document structure analysis (1994)
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- Abstract
- Document understanding, the interpretation of a document from its image form, is a technology area which benefits greatly from the integration of natural language processing with image processing. Develops a prototype of an Intelligent Document Understanding System (IDUS) which employs several technologies: image processing, optical character recognition, document structure analysis and text understanding in a cooperative fashion. Discusses those areas of research during development of IDUS where it is found that the most benefit from the integration of natural language processing and image processing occured: document structure analysis, OCR correction, and text analysis. Discusses 2 applications which are supported by IDUS: text retrieval and automatic generation of hypertext links
-
Inskip, C.; MacFarlane, A.; Rafferty, P.: Meaning, communication, music : towards a revised communication model (2008)
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- Abstract
- Purpose - If an information retrieval system is going to be of value to the user then it must give meaning to the information which matches the meaning given to it by the user. The meaning given to music varies according to who is interpreting it - the author/composer, the performer, cataloguer or the listener - and this affects how music is organized and retrieved. This paper aims to examine the meaning of music, how meaning is communicated and suggests this may affect music retrieval. Design/methodology/approach - Musicology is used to define music and examine its functions leading to a discussion of how music has been organised and described. Various ways of establishing the meaning of music are reviewed, focussing on established musical analysis techniques. It is suggested that traditional methods are of limited use with digitised popular music. A discussion of semiotics and a review of semiotic analysis in western art music leads to a discussion of semiotics of popular music and examines ideas of Middleton, Stefani and Tagg. Findings - Agreeing that music exists when communication takes place, a discussion of selected communication models leads to the proposal of a revised version of Tagg's model, adjusting it to include listener feedback. Originality/value - The outcome of the analysis is a revised version of Tagg's communication model, adapted to reflect user feedback. It is suggested that this revised communication model reflects the way in which meaning is given to music.
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Enser, P.G.B.; Sandom, C.J.; Hare, J.S.; Lewis, P.H.: Facing the reality of semantic image retrieval (2007)
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- Abstract
- Purpose - To provide a better-informed view of the extent of the semantic gap in image retrieval, and the limited potential for bridging it offered by current semantic image retrieval techniques. Design/methodology/approach - Within an ongoing project, a broad spectrum of operational image retrieval activity has been surveyed, and, from a number of collaborating institutions, a test collection assembled which comprises user requests, the images selected in response to those requests, and their associated metadata. This has provided the evidence base upon which to make informed observations on the efficacy of cutting-edge automatic annotation techniques which seek to integrate the text-based and content-based image retrieval paradigms. Findings - Evidence from the real-world practice of image retrieval highlights the existence of a generic-specific continuum of object identification, and the incidence of temporal, spatial, significance and abstract concept facets, manifest in textual indexing and real-query scenarios but often having no directly visible presence in an image. These factors combine to limit the functionality of current semantic image retrieval techniques, which interpret only visible features at the generic extremity of the generic-specific continuum. Research limitations/implications - The project is concerned with the traditional image retrieval environment in which retrieval transactions are conducted on still images which form part of managed collections. The possibilities offered by ontological support for adding functionality to automatic annotation techniques are considered. Originality/value - The paper offers fresh insights into the challenge of migrating content-based image retrieval from the laboratory to the operational environment, informed by newly-assembled, comprehensive, live data.
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Rosso, M.A.: User-based identification of Web genres (2008)
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- Abstract
- This research explores the use of genre as a document descriptor in order to improve the effectiveness of Web searching. A major issue to be resolved is the identification of what document categories should be used as genres. As genre is a kind of folk typology, document categories must enjoy widespread recognition by their intended user groups in order to qualify as genres. Three user studies were conducted to develop a genre palette and show that it is recognizable to users. (Palette is a term used to denote a classification, attributable to Karlgren, Bretan, Dewe, Hallberg, and Wolkert, 1998.) To simplify the users' classification task, it was decided to focus on Web pages from the edu domain. The first study was a survey of user terminology for Web pages. Three participants separated 100 Web page printouts into stacks according to genre, assigning names and definitions to each genre. The second study aimed to refine the resulting set of 48 (often conceptually and lexically similar) genre names and definitions into a smaller palette of user-preferred terminology. Ten participants classified the same 100 Web pages. A set of five principles for creating a genre palette from individuals' sortings was developed, and the list of 48 was trimmed to 18 genres. The third study aimed to show that users would agree on the genres of Web pages when choosing from the genre palette. In an online experiment in which 257 participants categorized a new set of 55 pages using the 18 genres, on average, over 70% agreed on the genre of each page. Suggestions for improving the genre palette and future directions for the work are discussed.
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Krause, J.: Principles of content analysis for information retrieval systems : an overview (1996)
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-
From information to knowledge : conceptual and content analysis by computer (1995)
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- Content
- SCHMIDT, K.M.: Concepts - content - meaning: an introduction; DUCHASTEL, J. et al.: The SACAO project: using computation toward textual data analysis; PAQUIN, L.-C. u. L. DUPUY: An approach to expertise transfer: computer-assisted text analysis; HOGENRAAD, R., Y. BESTGEN u. J.-L. NYSTEN: Terrorist rhetoric: texture and architecture; MOHLER, P.P.: On the interaction between reading and computing: an interpretative approach to content analysis; LANCASHIRE, I.: Computer tools for cognitive stylistics; MERGENTHALER, E.: An outline of knowledge based text analysis; NAMENWIRTH, J.Z.: Ideography in computer-aided content analysis; WEBER, R.P. u. J.Z. Namenwirth: Content-analytic indicators: a self-critique; McKINNON, A.: Optimizing the aberrant frequency word technique; ROSATI, R.: Factor analysis in classical archaeology: export patterns of Attic pottery trade; PETRILLO, P.S.: Old and new worlds: ancient coinage and modern technology; DARANYI, S., S. MARJAI u.a.: Caryatids and the measurement of semiosis in architecture; ZARRI, G.P.: Intelligent information retrieval: an application in the field of historical biographical data; BOUCHARD, G., R. ROY u.a.: Computers and genealogy: from family reconstitution to population reconstruction; DEMÉLAS-BOHY, M.-D. u. M. RENAUD: Instability, networks and political parties: a political history expert system prototype; DARANYI, S., A. ABRANYI u. G. KOVACS: Knowledge extraction from ethnopoetic texts by multivariate statistical methods; FRAUTSCHI, R.L.: Measures of narrative voice in French prose fiction applied to textual samples from the enlightenment to the twentieth century; DANNENBERG, R. u.a.: A project in computer music: the musician's workbench
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Ornager, S.: View a picture : theoretical image analysis and empirical user studies on indexing and retrieval (1996)
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- Abstract
- Examines Panofsky's and Barthes's theories of image analysis and reports on a study of criteria for analysis and indexing of images and the different types of user queries used in 15 Danish newspaper image archives. A structured interview method and observation and various categories for subject analysis were used. The results identify a list of the minimum number of elements and led to user typology of 5 categories. The requirement for retrieval may involve combining images in a more visual way with text-based image retrieval
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Hidderley, R.; Rafferty, P.: Democratic indexing : an approach to the retrieval of fiction (1997)
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- Abstract
- Examines how an analytical framework to describe the contents of images may be extended to deal with time based materials like film and music. A levels of meanings table was developed and used as an indexing template for image retrieval purposes. Develops a concept of democratic indexing which focused on user interpretation. Describes the approach to image or pictorial information retrieval. Extends the approach in relation to fiction
-
Beghtol, C.: Stories : applications of narrative discourse analysis to issues in information storage and retrieval (1997)
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- Abstract
- The arts, humanities, and social sciences commonly borrow concepts and methods from the sciences, but interdisciplinary borrowing seldom occurs in the opposite direction. Research on narrative discourse is relevant to problems of documentary storage and retrieval, for the arts and humanities in particular, but also for other broad areas of knowledge. This paper views the potential application of narrative discourse analysis to information storage and retrieval problems from 2 perspectives: 1) analysis and comparison of narrative documents in all disciplines may be simplified if fundamental categories that occur in narrative documents can be isolated; and 2) the possibility of subdividing the world of knowledge initially into narrative and non-narrative documents is explored with particular attention to Werlich's work on text types
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Belkin, N.J.: ¬The problem of 'matching' in information retrieval (1980)
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