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Titlebook: Word Association Thematic Analysis; A Social Media Text Michael Thelwall Book 2021 Springer Nature Switzerland AG 2021

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發(fā)表于 2025-3-21 16:22:31 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Word Association Thematic Analysis
副標題A Social Media Text
編輯Michael Thelwall
視頻videohttp://file.papertrans.cn/1031/1030706/1030706.mp4
叢書名稱Synthesis Lectures on Information Concepts, Retrieval, and Services
圖書封面Titlebook: Word Association Thematic Analysis; A Social Media Text  Michael Thelwall Book 2021 Springer Nature Switzerland AG 2021
描述.Many research projects involve analyzing sets of texts from the social web or elsewhere to get insights into issues, opinions, interests, news discussions, or communication styles. For example, many studies have investigated reactions to Covid-19 social distancing restrictions, conspiracy theories, and anti-vaccine sentiment on social media. This book describes word association thematic analysis, a mixed methods strategy to identify themes within a collection of social web or other texts. It identifies these themes in the differences between subsets of the texts, including female vs. male vs. nonbinary, older vs. newer, country A vs. country B, positive vs. negative sentiment, high scoring vs. low scoring, or subtopic A vs. subtopic B. It can also be used to identify the differences between a topic-focused collection of texts and a reference collection. The method starts by automatically finding words that are statistically significantly more common in one subset than another, thenidentifies the context of these words and groups them into themes. It is supported by the free Windows-based software Mozdeh for data collection or importing and for the quantitative analysis stages. Thi
出版日期Book 2021
版次1
doihttps://doi.org/10.1007/978-3-031-02324-8
isbn_softcover978-3-031-01196-2
isbn_ebook978-3-031-02324-8Series ISSN 1947-945X Series E-ISSN 1947-9468
issn_series 1947-945X
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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Michael Thelwallccess to information.Fully illustrated longer entries and ke.This work provides rapid access to focused information on topics of Immunotoxicology not only for scientists and those dealing with laboratory aspects but also for lecturers and?advanced students..Over 200 contributing authors?– including
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發(fā)表于 2025-3-22 12:43:47 | 只看該作者
Michael Thelwallaspects of applications including those potential or in test.The encyclopedia consists?.13.?subareas.?as follows:.1: Synthesis and Characterisation of Ionic Liquids (Section Editors: Prof. Fu-Wei Li and?Prof. Zhen Li).2: Physicochemical Properties of Ionic Liquids?(Section Editors:?Asso. Prof. Qing
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發(fā)表于 2025-3-22 12:52:50 | 只看該作者
Michael Thelwallnesties can be useful tools, from the standpoint of equity and efficiency, when exploited in exceptional circumstances. Amnesties may also be used systematically, as a discriminatory mechanism to target specific features or circumstances or taxpayer groups. However, if government commitment to enfor
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發(fā)表于 2025-3-22 20:28:28 | 只看該作者
Michael Thelwallensive covering of all the terms and concepts pertaining to The Encyclopedia of Lipidomics will present a complete overview of the field from fundamentals to new discoveries and from concepts, theories and experimental techniques to clinical and industrial applications. The book will develop with th
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發(fā)表于 2025-3-22 21:20:56 | 只看該作者
Michael Thelwalls is a very useful reference work for a broad audience, not limited to the professional lunar scientist: general astronomers, researchers, theoreticians, practitioners, graduate students, undergraduate students, and astrophysicists as well as geologists and engineers. The title includes all current
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發(fā)表于 2025-3-23 04:46:13 | 只看該作者
rchers for immediate access to useful information.Serves to .This authoritative, expanded and updated third edition of?.Encyclopedia of Machine Learning and Data Mining?.provides easy access to core information for those seeking entry into any aspect within the broad field of Machine Learning and Da
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