Benchmarks for text analysis: A response to Budge and Pennings

Budge and Pennings (2007) criticize the “Wordscores” method for computerized content analysis on essentially two grounds. The first is that the best test of Wordscores accuracy is whether it can “reproduce the rich time series produced by the MRG/CMP covering a 50 year period” (Budge and Pennings, 2...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: BENOIT, Kenneth, LAVER, Michael
التنسيق: text
اللغة:English
منشور في: Institutional Knowledge at Singapore Management University 2007
الموضوعات:
الوصول للمادة أونلاين:https://ink.library.smu.edu.sg/soss_research/3977
https://ink.library.smu.edu.sg/context/soss_research/article/5235/viewcontent/ElStud2006_ResponseBP_pv.pdf
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
المؤسسة: Singapore Management University
اللغة: English
الوصف
الملخص:Budge and Pennings (2007) criticize the “Wordscores” method for computerized content analysis on essentially two grounds. The first is that the best test of Wordscores accuracy is whether it can “reproduce the rich time series produced by the MRG/CMP covering a 50 year period” (Budge and Pennings, 2007: 5), which Budge and Pennings claim it does not do. The second is that Wordscores time series estimates, as implemented by Budge and Pennings, yield very little variation around mean scores for the entire time series. In this brief response we make three simple points.