When and where: 16 February, 23 February, 9 March, 16 March, 23 March 2018; Arts Building 3020.
Instructor: Professor Kenneth Benoit, kbenoit@tcd.ie. Assignment marking by Stefan Muüller.
Overview The course surveys methods for systematically extracting quantitative information from political text for social scientific purposes, starting with classical content analysis and dictionary-based methods, to classification methods, and state-of-the-art scaling methods and topic models for estimating quantities from text using statistical techniques.
Meeting times 5 February, 12 February, 11 March, 18 March.
Course Handout Short Outline The course surveys methods for systematically extracting quantitative information from political text for social scientific purposes, starting with classical content analysis and dictionary-based methods, to classification methods, and state-of-the-art scaling methods and topic models for estimating quantities from text using statistical techniques.
Frequently I am asked: I have a bunch of pdf files, how can I convert them to plain text so that analyze them using quantitative techniques? Here is my recommendation.
Quantitative Text Analysis 2E
Essex Summer School 2014
Course handout
Instructor: Prof Kenneth Benoit, LSE
TA: Dr. Paul Nulty, LSE
Day 1: Quantitative text analysis overview and fundamentals
slides demonstration .
Short Outline The course surveys methods for systematically extracting quantitative information from text for social scientific purposes, starting with classical content analysis and dictionary-based methods, to classification methods, and state-of-the-art scaling methods and topic models for estimating quantities from text using statistical techniques.
ME104 Linear Regression Analysis Professor Kenneth Benoit
London School of Economics and Political Science
Course Handout as pdf
Objectives and Learning Outcomes This course focuses on building a greater understanding, theoretical underpinning, and tools for applying the linear regression model and its generalizations.
Job opening: Research Officer in Quantitative Text Analysis
Duration: 24 months Start Date: 1 March 2012 or as soon as possible thereafter Salary: £31,998 – £38,737 p.a. incl.
Applications are invited for the post of Research Officer, to assist with a principal research officer for the European Research Council funded grant Quantitative Text Analysis for the Social Sciences (QUANTESS).
This concerns the short course I am teaching at the Essex Summer School in Social Science Data Analysis, University of Essex, from 11-22 July 2011.
Course handout (syllabus)
Day 1: Introduction to Computer-Assisted TextAnalysis
This is very close to what we do in statistical sciences!
Success through simulation
And this from the Matrix Reloaded (the best scene and dialogue of the film by far):
Merovingian: You see, there is only one constant, one universal, it is the only real truth: causality.