Research and skills development for TDK students with the participation of our research team


Our research group is represented in the NTP-HHTDK grant won by the ELTE TÁTK TDK Workshop. The grant was established to support the Hungarian Scientific Students’ Associations and their events. As part of this, we will be launching a Python-based text analytics course for faculty students during the spring semester, after which they will be able to join our research team for internship positions.

NLP section at the Cyprus conference of ISA’s RC33


Our research group’s two leaders, Ildikó Barna and Renáta Németh has successfully initiated an NLP-related section (Natural Language Processing: a New Tool in the Methodological Tool-Box of Sociology) at the International Sociological Association’s RC33 (Logic and Methodology in Sociology) conference, held between 8th-11th September, 2020. Abstract submissions are welcome until 30th January on the conference website.

Full House and Great Success at our Workshop


Full house and great success at the workshop organized by our research group on the new ways of sociological research

The first section, chaired by Sára Simon, dealt with the social scientific application of automated text analysis. In the first lecture, Renáta Németh talked about the aim of the research group and the positions of the new methods in social sciences. Ildikó Barna and Árpád Knap detected various types of antisemitic narratives in antisemitic articles and comments, some of which are not measurable by surveys. Zoltán Kmetty and Julia Koltai focused on word embedding NLP models; in addition to presenting the methodology, they demonstrated the potential of application for social scientists with concrete examples. Domonkos Sik and Fanni Máté talked about the results of their research on the framing of depression in online forums, including the benefits and difficulties of human annotation. Eszter Katona and Fanni Máté, in the last lecture of the section, detailed the methodology of supervised teaching models in the same research.

In the second section, Gábor Palkó talked about the analytical possibilities of a semantic prosopographic (collective biography) data network they built, called HECEdata, which can be examined together with the data elements of WikiDATA. Then Balázs Indig argued for the scientific necessity of using webcrawlers, and introduced the process step-by-step, in the case of humanities and social scientific applications.

The third section was chaired by Kinga Szálkai and opened by Nikosz Fokasz. In his presentation, the professor spoke about Hungarian and Greek auto- and heterostereotypes, and networks, based on identities and newspaper articles. The second lecture of the section was given by Pál Susánszky and Márton Gerő on the analysis of the police database on protests in Hungary, which they supplemented. The last presentation of the section and also the whole workshop was held by Erzsébet Takács and Flóra Takács. They put the previous presentation into a larger context and unfolded the traditions and problems of domestic movement research and the instruments of demonstration.

The presentations (in Hungarian) can be found here:

International Network Researching the European Memory Politics


The RC2S2 (Research Center for Computational Social Science founded by the Institute of Empirical Studies of ELTE Faculty of Social Sciences) contributes to international research cooperation titled “European Memory Politics – Populism, Nationalism and the Challenges to a European Memory Culture (EuMePo) led by the Canadian University of Victoria (UVic). Other partners are the Université de Strasbourg and the Adam Mickiewicz University (Poznań).



Starting this September, three Survey Statistics and Data Analytics MSc students will be working in conjunction with ELTE BTK Digital Humanities Research Center and Research Center for Computational Social Sciences. They will work under the supervision of Gábor Palkó and Balázs Indig, mainly on the “Webaratás” (Web-plowing) project. During the internship, participants will gain interesting and valuable programming experience. We wish them every success in their work!



In August 2019, Ildikó Barna and Árpád Knap represented our online antisemitism research group and presented at the European Sociological Association (ESA) conference in Manchester. In their paper, they analysed online antisemitism by scrutinising articles and comments from the far-right news portal using LDA topic modelling. In their earlier published paper, they dealt with the articles only. In their present paper, they supplemented it with the analysis of comments and also with the comparison of the two. Click here for the presentation.



Zoltán Kmetty earned the Young Researcher Scholarship by NKFI. In the project of 36 month support an experimental Facebook research is taking place, which is foremost methodological and focuses of the usefulness of Facebook research.

The website of the research can be found here

Business Cooperation


An agreement has been made between the Research Center for Computational Social Science and Clementine Hungary. From the autumn semester of 2018/2019, text analytics courses will be held and thesis topics will be offered on text analytics by Clementine. Thesis topics will include a wide range of issues, including characteristics of communication with robots, changing habits of online media consuming and Facebook activity of political parties.

Business Cooperation


Our research group made an agreement with SentiOne, a social listening and online media monitoring corporation. SentiOne saves, searches and analyses publicly available texts found online dating back to three years. These texts are used by our group for several research projects as corpora.

Renewed Training Program


From the autumn semester of 2019/2020 the Survey Statistics MSc program is running under the name of Survey Statistics and Data Analysis MSc. The structure of the course has changed significantly in the last few years in respects of the tools taught and the fields of human resources market targeted. Students are tought big data analytics, methods of network and text analytics, data mining, usage of several statistics software and programming languages in scientific, administrative and business applications, and social research as well.



80 students, of which 50 students first-ranked, applied for getting admission to the Survey Statistics and Data Analytics MSc in 2019. The number of applicants is bigger than that of last year and this achievement makes the program the 10th among the 163 MSc courses of ELTE considering the number of first-ranked applications of MSc courses.



A paper entitled “Antisemitism in Contemporary Hungary: Exploring Topics of Antisemitism in the Far-Right Media Using Natural Language Processing” was published by Ildikó Barna and Árpád Knap in the Theo-Web journal. The paper discusses contemporary online antisemitism in Hungary by analysing articles of the far-right website The paper can be accessed by clicking here.



Eszter Katona held a presentation entitled ‘Natural Language Processing in Social Sciences’ on 10 May 2019 in Basel, at the Joint Annual Conference of the GPSA Methods of Political Science Section and the SPSA Empirical Methodology Working Group ( She presented the results of the paper she wrote together with Renáta Németh and Zoltán Kmetty. The study is currently under review in a Hungarian sociology journal.



Zoltán Kmetty and Júlia Koltai held a presentation entitled ‘Understanding Cultural Choices with NLP’ on 9 May 2019 at the Budapest Data Science Meetup, discussing the role of natural language processing (NLP), including neural network-based word embedding models in better understanding human behaviour and culture. The abstract of the presentation is available here:



A paper entitled ‘Collapse of an online social network: Burning social capital to create it?’ was published in the D1 qualified (2.53 impact factor) Social Networks journal with Júlia Koltai as a co-author. The paper is discussing how the iWIW social media site collapsed from the aspect of connection networks. The paper is ‘open access’, so it can be accessed for free at the following site:

Conference Organizing


Organising Conferences. Julia Koltai was among the organisers of ‘Women in Data Science Budapest’ conference held on 4 March 2019 at the Central European University. The conference was a partner event of a conference organised at Stanford University with the same title. The session attracted more than 350 participants. The official site of the event and further information is available here:

The video made at the conference is available here:



Júlia Koltai held a course entitled ‘Structural Equation Modelling (SEM) with R’ from 22 February 2019 to 1 March 2019 at the European Consortium for Political Research Winter School in Methods and Techniques, University of Bamberg. The schedule of the course is available here:



Ildiko Barna held a presentation entitled “Overt and Subtle Antisemitism in Hungary” at the “Antisemitism, Anti-Zionism, Israel, and the Holocaust” workshop in Salzburg on 23 February 2019, discussing the methods and challenges of measuring antisemitism. Besides presenting the results of surveys on antisemitism in Hungary, she talked about new research opportunities offered by Natural Language Processing (NLP) methods, and also about the work of the research group.



Zoltán Kmetty, Julia Koltai and Karoly Bozsonyi presented their joint research on a poster at the BigSurv18 conference in Barcelona. Their work is focused on depression research in social media (Twitter, Instagram).



A keynote speech entitled ’Data science and statistics’ was held by Renáta Németh on 19 October 2018 at the meeting of the Clinical Biostatistical Society discussing the paradigm of ’big data’ methodology and its relation to ‘classical’ statistics. The discussion was focused mainly on biostatistical relevancy of the subject.



Zoltán Kmetty earned a postdoctoral scholarship offered by MTA. The focus of the scholarship is the application of text analytics in social sciences. In the scholarship program, Zoltán Kmetty is joining the MTA TK CSS-RECENS research team.



Our faculty jointly organised a Hackathon for students with the Precognox data mining corporation and the K-Monitor civil organisation in April, 2018. The aim of the competition was to create analyses and presentations using open-source software for data visualisation, to help to understand problems hiding behind data supplied by civil initiatives – with the deadline of 12 hours.