NEWS

MORES today introduced MORES Pulse, a free application that detects and reveals the emotional tone of any piece of text—all powered by a custom-built Large Language Model (LLM) developed, trained, refined, and validated by MORES project experts across Europe within one year.

The MORES project’s artificial intelligence (AI) application breaks down long texts into sentences and delivers a sophisticated analysis of each sentence's emotional tone—a major advancement over sentiment analysis, which classifies speech as positive, negative, or neutral. This innovation can advance research on emotion analysis in several scientific disciplines and support applications in diverse industries. MORES Pulse is free, requires no registration, and is fully private: no user data or text is stored or shared with third parties.

“Anyone who cares about communication and words will benefit from MORES Pulse, as it allows users to assess the moral-emotional tone of their or others’ communication—whatever it may be,” says Gabriella Szabó, Senior Research Fellow at HUN-REN Centre for Social Sciences, who coordinated the research behind the app.

“Civil society organisations, speechwriters, and policy advisors can also assess the emotional tone of their speeches and pieces of communication, making MORES Pulse an excellent resource to help shape narratives”.

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Who Gains from MORES Pulse?

Students and professionals alike will find MORES Pulse to be a rich source of actionable intelligence. Below is a non-exhaustive list of the many ways users can leverage MORES Pulse for enhanced productivity and insightful data analysis. Built to uncover hidden patterns of emotional communication.

Researchers

Can perform emotion analysis—using big data via the model’s API—across fields such as political science, social psychology, and communication studies.

Civil Society Organisations

Can craft persuasive, emotionally attuned communication materials, from social media to policy or advocacy briefs.

Journalists

Can analyse politicians’ emotional communication styles and reflect on their own tone to inform, persuade, or remain neutral.

Speechwriters and Communications Managers

Can optimise emotional resonance in speeches and messaging strategies.

Creatives

Can fine-tune video script messages, fiction and non-fiction, essays, or social media content to match the audience expectations and emotional impact.

How it Works

MORES Pulse detects five core emotions—anger, fear, disgust, sadness, and joy—and identifies sentences that contains none of these emotions. It supports analysis in seven languages: Czech, English, French, German, Hungarian, Polish, and Slovak.

The app produces three outputs:

- A pie chart revealing the emotional tone of the text.

- A sentence-by-sentence table indicating up to two dominant emotions—and transparently informing the user of the confidence level of each prediction.

- A heatmap displaying emotion intensity throughout the text, sentence by sentence.

The app is GDPR-compliant, stores no personal data, and deletes submitted text immediately after analysis. The model is hosted in MORES’s European servers.

“Users are free to reuse MORES pulse charts and results,” says MORES expert Orsolya Ring, Senior Research Fellow at ELTE CSS, who coordinated the app’s development.

“We only kindly ask that they cite the source. Users can also support our work by submitting feedback, testimonials, or feature requests.”

An FAQ page and feedback form are available, alongside details on API access for developers and researchers.

From Scientific Model to Application

The Large Language Model behind MORES Pulse was a key product of MORES research. Unlike many commercial AI models that produce inconsistent outputs, MORES Pulse was developed with rigorous human oversight at every development stage and delivers reproducible, consistent results. It was built to help uncover, scientifically, whether political actors have adopted increasingly emotional communication styles over time—and to detect the patterns driving this shift.

To train and validate the model, native speaker experts from MORES collected and analysed thousands of sentences from parliamentary texts and social media posts from leading political actors in France, Germany, Hungary, and Poland.

“In political texts, emotions like anger or fear are often moralised—targeting not personal grievances but perceived harm to others or society. Politicians rarely express emotions about opponents as individuals; rather, they frame their messages as morally urgent appeals to sway public opinion and voters,” Zsolt Boda, Research Professor at ELTE CSS and the Principal Investigator of the MORES project, says.

The innovative model was used in research described in MORES Working Paper No. 1, available for free download.

MORES Pulse was developed in-house by ELTE CSS (the coordinator of the MORES project), with modelling contributions from project team leaders in Europe:

- Artur Lipiński – Adam Mickiewicz University (Poland)

- Timm Beichelt – European University Viadrina (Germany)

- Nicolas Hubé – University of Lorraine (France)

Within one year, the teams led by Gabriella Szabó in this research task built, tested, refined, and publicly launched the MORES Pulse AI application—freely available to all.

Next Steps

MORES will release several demonstration resources in the next few months, including how to use the application for research purposes. Sign up to the project’s quarterly newsletter and YouTube channel to receive updates.

Access the Application

MORES Pulse is available for free on our website: https://mores-horizon.eu/toolkit/mores-pulse-ai

Contact Information

[email protected].

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