Search Results for author: Tom De Smedt

Found 8 papers, 0 papers with code

Online anti-Semitism across platforms

no code implementations14 Dec 2021 Tom De Smedt

We created a fine-grained AI system for the detection of anti-Semitism.

Decision Making

4chan & 8chan embeddings

no code implementations2 Apr 2020 Pierre Voué, Tom De Smedt, Guy De Pauw

We have collected over 30M messages from the publicly available /pol/ message boards on 4chan and 8chan, and compiled them into a model of toxic language use.

Hate Speech Detection Word Embeddings

Right-wing German Hate Speech on Twitter: Analysis and Automatic Detection

no code implementations16 Oct 2019 Sylvia Jaki, Tom De Smedt

Discussion about the social network Twitter often concerns its role in political discourse, involving the question of when an expression of opinion becomes offensive, immoral, and/or illegal, and how to deal with it.

Multilingual Cross-domain Perspectives on Online Hate Speech

no code implementations11 Sep 2018 Tom De Smedt, Sylvia Jaki, Eduan Kotzé, Leïla Saoud, Maja Gwóźdź, Guy De Pauw, Walter Daelemans

In this report, we present a study of eight corpora of online hate speech, by demonstrating the NLP techniques that we used to collect and analyze the jihadist, extremist, racist, and sexist content.

General Classification text-classification +1

Automatic Detection of Online Jihadist Hate Speech

no code implementations13 Mar 2018 Tom De Smedt, Guy De Pauw, Pieter Van Ostaeyen

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.

BIG-bench Machine Learning

Modeling Creativity: Case Studies in Python

no code implementations10 Aug 2014 Tom De Smedt

Modeling Creativity (doctoral dissertation, 2013) explores how creativity can be represented using computational approaches.

``Vreselijk mooi!'' (terribly beautiful): A Subjectivity Lexicon for Dutch Adjectives.

no code implementations LREC 2012 Tom De Smedt, Walter Daelemans

The lexicon is a dictionary of 1, 100 adjectives that occur frequently in online product reviews, manually annotated with polarity strength, subjectivity and intensity, for each word sense.

BIG-bench Machine Learning Lemmatization +3

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