Overview Objectives Detailed Course Schedule Week 1: Introduction and issues in quantitative text analysis Week 2: Quantitative methods for comparing texts Week 3: Automated dictionary-based approaches Week 4: Machine learning and scaling for texts Week 5: Scaling models Final Assignment References When and where: 16 February, 23 February, 9 March, 16 March, 23 March 2018; Arts Building 3020.
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.
2015, Trinity College, Dublin, Department of Political Science
Instructor: Prof Kenneth Benoit, LSE
Details: Class meets MONDAYS in Feb-March from 14:00 – 16:30, with one exception on Day 2 (see below)
Sponsored by: NYU Department of Politics 2014
pdf version of Course handout
Instructor: Prof Kenneth Benoit, LSE
Details: Class meets TUESDAYS 10:00 – 11:50 in Room 217
Note: As the class proceeds, I will add resources (slides, R code, text datasets, problem sets) to each session below.
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.
Here are the slides and files from my “Introduction to Supervised Methods for Classifying and Scaling Texts” workshop in our MY560 series from May 28, 2013.
Slides here Lab Exercise here Files for lab exercise: Movie Reviews and the amicus briefs
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.
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
An Introduction to Multi-Level Models (Using Stata) European University Institute, May 23–27, 2011
Professor Kenneth Benoit
Methodology Institute, London School of Economics
https://www.kenbenoit.net/mlm/
Course handout here.
Readings are available from Mark Franklin’s Dropbox account for this course.
This post concerns the short course I am teaching at Central European University, Budapest from 14-21 April 2011. Stay tuned to this post for future announcements.
The course handout (syllabus) is available here.
On Friday, November 12 your five-page (maximum) outline of your research proposal is due.
In brief: This is designed to be a shorter version of your final assignment research proposal, providing a more summary version of the project will propose in fuller form at the end of the term.
This is painfully funny… if completely, ahem, unfounded.
Fully-funded studentships are available for study in the PhD programme in Political Science at Trinity College Dublin, paying tuition plus a stipend of up to €15,000 per year.
Application for this financial support is automatically considered as part of the normal admissions process.
Here’s a recent article published in the New York Times about R, the freely available statistical package:
“Data Analysts Captivated by R’s Power”
By ASHLEE VANCE
Published: January 7, 2009
Here’s a good one from http://www.phdcomics.com for all you PhD students:
I have now added the detailed course outlines to my web page for the courses I am teaching in Spring 2009. These are:
Introduction to Quantitative Research Methods (MSc) Quantitative Methods II (PhD)
As promised I have now posted the presentations from the weeks in Government Institutions. These are in pdf format so should be readable by everyone. Note that you must be on the local TCD network (or using the VPN or proxy server) to access these files.
This will be a place for posting announcements (and comments) related to courses I teach.