Forum 4.0

Semi-automated analysis, aggregation, and visualization of user comments

Forum 4.0

what is being researched?

In the project „Forum 4.0: Machine Analysis, Aggregation and Visualization of User Comments“, researchers from the University of Hamburg and HAW Hamburg are developing new methods to systematically evaluate the content and quality of user comments on Internet platforms and in IT systems.

Text analyses, machine learning processes with the participation of real people and empirical software technology should help to better exploit the potential of user comments and enable constructive participation. Scientists from the Hans Bredow Institute are also associated with the project.

This project presents an automated approach to the identification and classification of metacommentaries. It compares the classification of comments based on manually extracted features with an end-to-end learning approach.
The Forum 4.0 project uses natural language processing, machine learning and empirical software engineering to analyze comments on journalistic work and user comments on mobile apps.

User comments have become an essential component of online journalism. However, newsrooms are often overwhelmed by the multitude of different comments for which manual analysis is hardly possible. It is particularly important to identify meta-comments that address or mention newsrooms, individual journalists or moderators and that may provoke reactions.

Forum 4.0

how is research done?

Forum 4.0

who researches together?

Walid
Maalej

Prof. Dr.

UHH
Projectcoordinator

Wiebke Loosen

Prof. Dr.

HBI
Projectpartner

Olaf
Zukunft

Prof. Dr.-Ing.

HAW
Projectpartner

Chris Biemann

Prof. Dr.

UHH
Projectpartner

Christian Stöcker

Prof. Dr.

HAW
Projectpartner

You want to learn more about Forum 4.0?

ahoi.digital

other ahoi.digital projects

ACSDE



Adaptive cross-modal sensor data acquisition

SANE



Smart Networks for Urban Participation

IGT



Information Governance Technologie

Smart Open Hamburg

Hamburg's digital Traffic Gemini

Forum 4.0

Semi-automated analysis, aggregation, and visualization of user comments

Forum 4.0

what is being researched?

In the project „Forum 4.0: Machine Analysis, Aggregation and Visualization of User Comments“, researchers from the University of Hamburg and HAW Hamburg are developing new methods to systematically evaluate the content and quality of user comments on Internet platforms and in IT systems.

Text analyses, machine learning processes with the participation of real people and empirical software technology should help to better exploit the potential of user comments and enable constructive participation. Scientists from the Hans Bredow Institute are also associated with the project.

Forum 4.0

how is research done?

This project presents an automated approach to the identification and classification of metacommentaries. It compares the classification of comments based on manually extracted features with an end-to-end learning approach.
The Forum 4.0 project uses natural language processing, machine learning and empirical software engineering to analyze comments on journalistic work and user comments on mobile apps.
User comments have become an essential component of online journalism. However, newsrooms are often overwhelmed by the multitude of different comments for which manual analysis is hardly possible. It is particularly important to identify meta-comments that address or mention newsrooms, individual journalists or moderators and that may provoke reactions.

Forum 4.0

who researches together?

Walid Maalej

Prof. Dr.

UHH
Projectcoordinator

Wiebke Loosen

Prof. Dr.

HBI
Projectpartner

Olaf Zukunft

Prof. Dr.-Ing.

HAW
Projectpartner

Chris Biemann

Prof. Dr.

UHH
Projectpartner

Christian Stöcker

Prof. Dr.

HAW
Projectpartner

You want to learn more about Forum 4.0?

ahoi.digital

other ahoi.digital projects

ACSDE



Adaptive cross-modal sensor data acquisition

SANE



Smart Networks for Urban Participation


IGT




Information Governance Technologie


Smart Open Hamburg

Hamburg's digital
Traffic Gemini

Forum 4.0

Semi-automated analysis, aggregation, and visualization of user comments

Forum 4.0

what is being researched?

In the project „Forum 4.0: Machine Analysis, Aggregation and Visualization of User Comments“, researchers from the University of Hamburg and HAW Hamburg are developing new methods to systematically evaluate the content and quality of user comments on Internet platforms and in IT systems.

Text analyses, machine learning processes with the participation of real people and empirical software technology should help to better exploit the potential of user comments and enable constructive participation. Scientists from the Hans Bredow Institute are also associated with the project.

Forum 4.0

how is research done?

User comments have become an essential component of online journalism. However, newsrooms are often overwhelmed by the multitude of different comments for which manual analysis is hardly possible. It is particularly important to identify meta-comments that address or mention newsrooms, individual journalists or moderators and that may provoke reactions.
This project presents an automated approach to the identification and classification of metacommentaries. It compares the classification of comments based on manually extracted features with an end-to-end learning approach.
The Forum 4.0 project uses natural language processing, machine learning and empirical software engineering to analyze comments on journalistic work and user comments on mobile apps.

Forum 4.0

who researches together?

Prof. Dr.
Walid Maalej

UHH

Projectcoordinator

Prof. Dr.
Wiebke Loosen

HBI

Projectpartner

Prof. Dr.-Ing.
Olaf Zukunft

HAW

Projectpartner

Prof. Dr.
Chris Biemann

UHH

Projectpartner

Prof. Dr.
Christian Stöcker

HAW

Projectpartner

You want to learn more about Forum 4.0?

ahoi.digital

other ahoi.digital projects

ACSDE

Adaptive cross-modal sensor data acquisition

SANE


Smart Networks for Urban Participation

IGT


Information Governance Technologie

Smart Open Hamburg

Hamburg's digital Traffic Gemini