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دسته بندی:
داده کاوی - data mining
سال انتشار:
2018
عنوان انگلیسی مقاله:
Capturing distinctions while mining text data: Toward low-tech formalization for text analysis
ترجمه فارسی عنوان مقاله:
گرفتن تمایزات در حین استخراج داده های متنی: به سوی رسمی سازی تکنولوژی کم برای تجزیه و تحلیل متن
منبع:
Sciencedirect - Elsevier - Poetics,Corrected proof,doi:10.1016/j.poetic.2018.02.005
نویسنده:
Ronald L. Breigera,⁎, Robin Wagner-Pacificib, John W. Mohrc
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 in
clination). 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.
Keywords: Text mining ، Hermeneutics ، National security ، Computational sociology ، Big data ، Close reading
قیمت: رایگان
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