– This page contains information about events associated with the Amsterdam Content Analysis Lab –
Text Analysis Workshop Series (Spring 2016)
Quantitative text analysis is rapidly gaining in prominence across the social sciences. With the massive availability of data on the web in the form of mass media content, speeches, press releases, website, social media, etc., scholars in the fields of communication sciences, economics, political science, psychology and economics, increasingly recognize quantitative text analysis as a method of learning about, for example, content, topics, ideology in spoken and written text.
To be at the forefront of these developments, we bring together a group of interested and active researchers in Amsterdam (UvA & VU) and elsewhere by means of a regularly occurring workshop in which best practices in applied work, new methodologies, and substantive new findings from text analysis are exchanged and discussed.
Goals:
- Establishing a (multidisciplinary) research community around topics of quantitative text analysis;
- A forum where researchers working on text analysis can get meaningful feedback on their work before they send it out for review;
- Discussion and exchange of ideas, best practices in applied work, new methodologies and substantive new findings from text analysis;
- Network opportunities for developing fruitful (multidisciplinary) collaboration in future work.
Structure
- Regularly occurring workshops (see schedule below). Each individual meeting will take two hours, with the first hour devoted to presentation of a new paper discussing a method and / or application of text analysis, and the second hour going into more practical detail. After the workshop there will be time to network. Drinks will be provided.
- Papers will be distributed in the week before the workshop.
Preliminary Topics
- Topic modeling;
- Scaling models;
- Sentiment analysis;
- Comparative (multilingual) approaches to text analysis;
- Descriptive statistics of text. Quantities of Interest;
- Empirical applications of text analysis in political science, economics, communication studies, sociology;
- Under the Hood: assumptions of text analysis in empirical work;
- How to do to text analysis: Python versus R. Questions of workflow;
- Visualization of Text.
Schedule & Location
All meetings are from 3-5 PM at the UvA-REC. Exact rooms will be announced in time.
DATE & TIME | PRESENTATION |
18/02/16
|
Rens Vliegenthart
Automatic Thematic Content Analysis: Finding Frames in the News |
10/03/16
|
Damian Trilling and Jeroen Jonkman
Packing and Unpacking the Bag of Words. Introducing a Toolkit for Inductive Automated Frame Analysis |
31/03/16
|
Gijs Schumacher, Martijn Schoonvelde, Tanushree Dahiya, Erik de Vries
What are they Talking About? Leaders’ Attention to and Position on the Economic Crisis and the EU. |
21/04/16
|
Jelle Boumans
Applying ACA to assess news media’s reliance on sources Wouter van Atteveldt Corpus analysis, topic modeling, and machine learning using R |
12/05/16
|
Bastiaan Bruinsma and Kostas Gemenis
Validating Wordscores Denise Traber Shifts and Stability in Parties’ Policy Positions: The Case of Immigration Policy in Switzerland
|
02/06/06 | PhD and MSc presentations
Tanushree Dahiya Erik de Vries Mariken van der Velden |
Organizers
This text analysis workshop series is organized by Martijn Schoonvelde, Postdoctoral Researcher in Political Science (VU), Gijs Schumacher, Assistant Professor in Political Science (UvA), and Rens Vliegenthart, Professor for Media and Society in the department of Communication Science and at the Amsterdam School of Communication Research (ASCoR). The workshops are supported through funding from the Center for Politics and Communication (polcomm.org) and Access Europe (accesseurope.org). Scholars interested in presenting their research at the workshop can send a brief email with topic and preferred date to either one of the organizers.