کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7538085 1488751 2018 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Capturing distinctions while mining text data: Toward low-tech formalization for text analysis
ترجمه فارسی عنوان
گرفتن تمایز در حالی که داده های داده های معدن: به سوی رسم سازی کم فن آوری برای تجزیه و تحلیل متن
کلمات کلیدی
استخراج متن، هرمنوتیک امنیت ملی، جامعه شناسی محاسباتی، اطلاعات بزرگ، خواندن دقیق،
موضوعات مرتبط
علوم انسانی و اجتماعی علوم انسانی و هنر هنر و علوم انسانی (عمومی)
چکیده انگلیسی
In this article we consider some low-tech approaches to text mining. Our goal is to articulate a RiCH (Reader in Control of Hermeneutics) style of text analysis that takes advantage of the digital affordances of modern reading practices and easily deployable computational tools while also preserving the primacy of the interpretive lens of the human reader. In the article we offer three analytical interventions that are suitable to the low-tech formalizations we propose: the first and most developed intervention tracks the (normally computationally ignored) “stop” words; the second identifies the use of strategic anxiety terms in the texts; and the third (less developed in this article) introduces the grammatical features of modality (including modalization statements of probability and usuality, and modulation statements regarding degrees of obligation and inclination). All three analytical interventions provide a productive tracking of various modes and degrees of strategic decisiveness, contradiction, uncertainty and indeterminacy in a corpus of recent U.S. National Security Strategy reports.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Poetics - Volume 68, June 2018, Pages 104-119
نویسندگان
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