Babel Machine Visit old site
No-code multilingual AI for comparative research

Political text, decoded.

The Babel Machine turns uploaded text into structured research data: CAP (Comparative Agendas Project) topics, manifesto labels, sentiment, emotions, named entities, ILLFRAMES, ONTOLISST, and entity-targeted sentiment analysis.

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14+ coding tasks
30+ supported languages
2025 SSCR article
Demo

Test the classifiers live.

Upload text and explore the Babel Machine classifiers in action.

Babel Machine Demo Embedded workflow
Classifier Suite

Pick the taxonomy, upload the file, receive coded data.

Every classifier is available from the new homepage, grouped by the research decision the user is making.

Policy Topics

CAP Major (22)

Automated coding of CAP major policy topic codes.

 Policy Topics

CAP Minor (214)

Automated coding of detailed CAP minor policy topic codes.

 Media Coding

CAP Major + Media1

CAP major policy topic codes plus Media1 categories.

 Media Coding

CAP Major + Media2

CAP major policy topics plus expanded Media2 categories.

 Media Coding

CAP Minor + Media1

Fine-grained policy topics combined with Media1 codes.

 Manifestos

Manifesto

Automated coding of party manifesto text.

 Tone

Sentiment 3

Three-way sentiment coding for comparative text analysis.

 Tone

Emotions 6

Automated coding of six emotion categories.

 Tone

Emotions 9

Automated coding of nine emotion categories.

 Tone

Emotions 10

Automated coding of ten emotion categories.

 Frames

ILLFRAMES

Automated coding of illiberal policy frames.

 Frames

ONTOLISST

Automated coding of ONTOLISST categories.

 Extraction

NER

Named-Entity Recognition for people, organizations, and places.

 Extraction

ABSA 3

Three-way sentiment analysis targeted at named entities inside sentences.
Coming Soon

Multi-task Upload

Multiple classification tasks with one upload.

About

poltextLAB AI Laboratory

Babel Machine is maintained by poltextLAB Artificial Intelligence Laboratory in Budapest and developed with international collaborators across comparative politics and text-as-data research.

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Demo

Embedded workflow

Test the upload and classification flow directly in the demo section above.

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Coverage

Supported languages

The platform supports broad multilingual coverage for CAP (Comparative Agendas Project), manifesto, sentiment, emotions, ILLFRAMES, ONTOLISST, ABSA, and NER tools.

See languages
Citation

How to cite

Sebok, M., Mate, A., Ring, O., Kovacs, V., & Lehoczki, R. (2025). Leveraging Open Large Language Models for Multilingual Policy Topic Classification: The Babel Machine Approach.

DOI
Data

GDPR note

Uploaded files are processed in a secure cloud environment to return coded CSV outputs. Submission data is used only for returning results and identifying the submitting organization.

GDPR reference
Updates

Platform updates

Babel Machine continues to expand classifier coverage, language support, and research infrastructure.

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Language Coverage

Built for multilingual social science, not just English demos.

Current tasks cover major European languages and selected additional languages, with the broadest coverage for English, Hungarian, French, German, Polish, Czech, Slovak, Spanish, Portuguese, Italian, Dutch, and Danish.

English Hungarian French German Polish Czech Slovak Spanish Portuguese Italian Dutch Danish Norwegian Romanian Bulgarian Serbian Croatian Slovenian Swedish Finnish Estonian Latvian Lithuanian Greek Russian Hebrew Armenian Georgian Japanese Korean Icelandic
Research Backbone

Research-grade AI, wrapped in a no-code workflow.

How to cite

Sebok, M., Mate, A., Ring, O., Kovacs, V., & Lehoczki, R. (2025). Leveraging Open Large Language Models for Multilingual Policy Topic Classification: The Babel Machine Approach. Social Science Computer Review, 43(2), 295-317.

Read the article

GDPR-ready processing

Uploaded files are processed to return coded CSV outputs. Personal data associated with submission is used only for returning results and identifying the submitting organization, and users can request deletion at any time.

GDPR reference

Institutional home

Babel Machine is maintained by poltextLAB Artificial Intelligence Laboratory, a Budapest-based research lab focused on text mining and AI for social science research.

Visit poltextLAB
Users

Institutional customers and the affiliations of personal users

Universita di Catania

University at Albany

Aarhus University

Reed College

BOKU University

University of Antwerp

University of Edinburgh

WZB Berlin Social Science Center

Sciences Po

Universitat Konstanz

NYU Abu Dhabi

University of Cologne International

Sponsors

Current sponsors and infrastructure partners.

Babel Machine is maintained by poltextLAB Artificial Intelligence Laboratory (ELTE CSS) in Budapest and developed with international collaborators across comparative politics and text-as-data research.

Contact

Bring your codebook, corpus, or comparative research problem.

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