Resources

Here you’ll find a collection of technical reports, scientific publications and our open-source software and data sets.

Textgain Technical Reports (ISSN 2684-4842)

A technical report series detailing ongoing work at Textgain

Profanity & Offensive Words (P​OW​): Multilingual fine-grained lexicons for hate speech

Abstract Authors Abstract The POW lexicons are a steadily growing, interpretable NLP resource for online hate speech detection. They are currently available in English, German, French, Dutch and Hungarian, capturing thousands of verbal expressions of abusive, aggressive, dehumanizing, discriminatory, offensive … Read More

MAL NLP Lexicon: Melancholy, Anxiety & Loneliness during lockdown

Abstract Authors Abstract We have created a new practice-based NLP resource for monitoring mental health on social media, in particular brooding. The resource is currently available for Dutch and captures 2,000+ expressions of anger, fear and sadness, along with various … Read More

4chan & 8chan embeddings (TGTR-1)

Abstract Authors Abstract We have collected over 30 million messages from the publicly available /pol/ message boards on 4chan and 8chan, and compiled them into a model of toxic language use. The trained word embeddings (±0.4GB) are released for free … Read More

Publications

Publications co-authored by Textgain team members. Some of these are available for download from this site.

Online hatred of women in the Incels.me forum – Linguistic analysis and automatic detection

Automatic detection of cyberbullying in social media text

Summary Authors Summary While social media offer great communication opportunities, they also increase the vulnerability of young people to threatening situations online. Recent studies report that cyberbullying constitutes a growing problem among youngsters. Successful prevention depends on the adequate detection … Read More

Text-Based Age and Gender Prediction for Online Safety Monitoring

Automatic Detection of Online Jihadist Hate Speech

Summary Author Summary We have developed a system that automatically detects online jihadist hate speech with over 80% accuracy, by using techniques from Natural Language Processing and Machine Learning. The system is trained on a corpus of 45,000 subversive Twitter … Read More

Multilingual Cross-domain Perspectives on Online Hate Speech

Code

True to our roots, we have several open-source libraries available on Github.

Redcrow

Arabic Dialect Identification

Grasp

GDPR Anonymization Tool

Pattern3

Data sets

Whenever possible, we like to make our data sets available. This is not always possible due to GDPR restrictions, but we share whatever we can.

4chan & 8chan Word Embeddings

Dutch Word Embeddings

Our latest blog posts

Depolarisation: Road to deeper trust

call for workshops 5th International Conference “Civic Actors in Conflicts”  September 29th – October 2, 2020 Bratislava, Slovakia We invite you to submit an ONLINE workshop proposal that responds to the three main conference sections (find out more about the … Read More

Featured Post

Is het 5G van Proximus schadelijk?

Op 1 april lanceerde Proximus het eerste openbare 5G-netwerk in ons land. Dat leidde al snel tot bezorgdheid op sociale media en vanuit politieke hoek over de gezondheidsgevolgen van zo’n netwerk. Hoe zit dat netwerk in elkaar? En waar liggen … Read More

Featured Post

Covid-19: Remèdes et complots de la twittosphère francophone

Textgain s’est donné pour mission de détecter et combattre la prolifération de désinformations et de discours polarisants sur différentes plateformes du Web. L’actuelle crise du coronavirus ne fait pas exception et de nombreuses fausses informations se répandent sur les réseaux … Read More

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