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Discourse analysis

About: Discourse analysis is a research topic. Over the lifetime, 16055 publications have been published within this topic receiving 515384 citations. The topic is also known as: DA & discourse studies.


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Book ChapterDOI
31 Dec 1981

95 citations

Journal ArticleDOI
TL;DR: In this paper, critical discourse analysis has been used to examine and discuss some of the key developments in the governing of education in Scotland since the election of the Scottish National Party (SNP) government in May 2007.
Abstract: The paper draws on critical discourse analysis to examine and discuss some of the key developments in the governing of education in Scotland since the election of the Scottish National Party (SNP) government in May 2007. It analyses these developments, drawing on a study of key policy texts and suggests that discourse analysis has much to contribute to the understanding of the governing strategy of the minority SNP administration as reflected in its education policy. We suggest that there is a self-conscious strategy of ‘crafting the narrative’ of government that seeks to discursively re-position ‘smarter Scotland’ alongside small, social democratic states within the wider context of transnational pressures for conformity with global policy agendas. Thus the paper connects to current debates on the relationship between an emergent global education policy ‘field’ and the capacity of ‘local’ contexts to develop and sustain particular, embedded assumptions and practices.

95 citations

Proceedings Article
01 Dec 2012
TL;DR: This work shows how the discourse relations like the connectives and conditionals can be used to incorporate discourse information in any bag-of-words model, to improve sentiment classification accuracy.
Abstract: We propose a lightweight method for using discourse relations for polarity detection of tweets . This method is targeted towards the web-based appli cations that deal with noisy, unstructured text, like the tweets, and cannot afford to use heavy linguistic resource s like parsing due to frequent failure of the parsers to handle noisy dat a. Most of the works in micro-blogs, like Twitter, use a bag-of-words model that ignores the discours e particles like but, since, although etc. In this work, we show how the discourse relations like the connectives and conditionals can be used to incorporate discourse information in any bag-of-words model, to improve sentiment classification accuracy. We also probe the influenc e of the semantic operators like modals and negations on the discourse relations that affect the sentime nt of a sentence. Discourse relations and corresponding rules are identified with minimal processing - just a list look up. We first give a linguistic description of the various discourse r elations which leads to conditions in rules and features in SVM. We show that our discourse-based bag-of-words model performs well in a noisy medium ( Twitter ), where it performs better than an existing Twitte r-based application. Furthermore, we show that our approach is beneficia l to structured reviews as well, where we achieve a better accuracy than a state-of-the-art s ystem in the travel review domain. Our system compares favorably with the state-of-the-art system s and has the additional attractiveness of being less resource intensive.

95 citations

Journal ArticleDOI
TL;DR: In this paper, a discourse analysis of the latest Common Agricultural Policy (CAP) documents was conducted to determine which discourses and discourse strategies predominated in the reform documentation and how they were implemented into measures and budgetary distributions.

95 citations

Journal ArticleDOI
Fiona Copland1
TL;DR: This paper provided a discourse analysis of four extracts from group feedback conferences on a pre-service programme for teachers of English language, showing how topics and speaking rights are established and negotiated and how participants orientate to and contest both the forms of knowledge that emerge and the speaking rights.
Abstract: Feedback on performance is a feature of professional training. Much feedback is delivered in post-observation conferences where a ‘trainer’ will discuss the ‘trainee's’ performance with him/her. What transpires in these conferences, however, is ‘hidden from view’ (Heritage and Sefi 1992: 362) and the norms of interaction are largely unexamined in the literature. Even less is known about feedback conducted in groups, yet many teachers training to teach English experience feedback in this way. This article provides a discourse analysis of four extracts from group feedback conferences on a pre-service programme for teachers of English language. Drawing on the concept of ‘legitimate talk’, the analysis shows how topics and speaking rights are established and negotiated and how participants orientate to and contest both the forms of knowledge that emerge and the speaking rights. While the study was not initially designed to support trainers in their professional development, the argument is made that data from linguistic ethnographic studies can be used by research participants and others for these purposes, thus enhancing the relationship between the researcher and the researched.

95 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023216
2022394
2021632
2020851
2019833
2018803