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GWC2019 presentation: Propagation of emotions, arousal and polarity in WordNet using Heterogeneous Structured Synset Embeddings

October 2020

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Wroclaw University of Science and Technology

Wroclaw University of Science and Technology

Nencki Institute of Experimental Biology

Małgorzata Wierzba

Nencki Institute of Experimental Biology

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Presentation for the article: Propagation of emotions, arousal and polarity in WordNet using Heterogeneous Structured Synset Embeddings

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Propagation of emotions, arousal and polarity in WordNet using Heterogeneous Structured Synset Embeddings

Conference Paper

July 2019

Jan Kocoń · Arkadiusz Janz · Monika Riegel · Małgorzata Wierzba · Maciej Piasecki

Project

CLARIN-PL

CLARIN (Common Language Resources and Technology Infrastructure) is a pan-European research infrastructure intended for the humanities and social sciences. It facilitates work with very large colle ctions of texts. ... [more]

Project

Inforex

Development of a web system for text corpora construction. Inforex allows parallel access and sharing resources among many users. The system assists semantic annotation of texts on several levels, such as marking text references, creating new references, or marking word senses. ... [more]

Project

Liner2 – A Customizable Framework for Automatic Text Annotation (NER, TimeX, Events)

Liner2 (Marcińczuk, et al., 2013), is a generic framework which can be used to solve various tasks based on sequence labeling, i.e. recognition of named entities, temporal expressions, mentions of events. It provides a set of modules (based on statistical models, dictionaries, rules and heuristics) which recognize and annotate certain types of phrases. The framework was already used for recognition of named entities (different levels of granularity, including boundaries, coarse- and fine-grained categories) (Marcińczuk, et al, 2012), temporal expressions (Kocoń and Marcińczuk, 2016) and event mentions (Kocoń and Marcińczuk, 2016) for Polish. ... [more]

Project

Sentimenti

Conference Paper

Full-text available

Propagation of emotions, arousal and polarity in WordNet using Heterogeneous Structured Synset Embed...

July 2019

In this paper we present a novel method for emotive propagation in a wordnet based on a large emotive seed. We introduce a sense-level emotive lexicon annotated with polarity, arousal and emotions. The data were annotated as a part of a large study involving over 20,000 participants. A total of 30,000 lexical units in Polish WordNet were described with meta-data, each unit received about 50 ... [Show full abstract] annotations concerning polarity, arousal and 8 basic emotions, marked on a multilevel scale. We present a preliminary approach to propagating emotive metadata to unla-beled lexical units based on the distribution of manual annotations using logistic regression and description of mixed synset embeddings based on our Heterogeneous Structured Synset Embeddings.

Conference Paper

Full-text available

Recognition of emotions, valence and arousal in large-scale multi-domain text reviews

May 2019

In this article, we present a novel multidomain dataset of Polish text reviews. The data were annotated as part of a large study involving over 20,000 participants. A total of 7,000 texts were described with metadata, each text received about 25 annotations concerning polarity, arousal and eight basic emotions, marked on a multilevel scale. We present a preliminary approach to data labelling ... [Show full abstract] based on the distribution of manual annotations and to the classification of labelled data using logistic regression and bi-directional long short-term memory recurrent neural networks.

Article

Full-text available

Emotion norms for 6000 Polish word meanings with a direct mapping to the Polish wordnet

December 2021 · Behavior Research Methods

Emotion lexicons are useful in research across various disciplines, but the availability of such resources remains limited for most languages. While existing emotion lexicons typically comprise words, it is a particular meaning of a word (rather than the word itself) that conveys emotion. To mitigate this issue, we present the Emotion Meanings dataset, a novel dataset of 6000 Polish word ... [Show full abstract] meanings. The word meanings are derived from the Polish wordnet (plWordNet), a large semantic network interlinking words by means of lexical and conceptual relations. The word meanings were manually rated for valence and arousal, along with a variety of basic emotion categories (anger, disgust, fear, sadness, anticipation, happiness, surprise, and trust). The annotations were found to be highly reliable, as demonstrated by the similarity between data collected in two independent samples: unsupervised ( n = 21,317) and supervised ( n = 561). Although we found the annotations to be relatively stable for female, male, younger, and older participants, we share both summary data and individual data to enable emotion research on different demographically specific subgroups. The word meanings are further accompanied by the relevant metadata, derived from open-source linguistic resources. Direct mapping to Princeton WordNet makes the dataset suitable for research on multiple languages. Altogether, this dataset provides a versatile resource that can be employed for emotion research in psychology, cognitive science, psycholinguistics, computational linguistics, and natural language processing.

Chapter

Multilingual and Language-Agnostic Recognition of Emotions, Valence and Arousal in Large-Scale Multi...

June 2022

In this article we present extended results obtained on the multidomain dataset of Polish text reviews collected within the Sentimenti project. We present preliminary results of classification models trained and tested on 7,000 texts annotated by over 20,000 individuals using valence, arousal, and eight basic emotions from Plutchik’s model. Additionally, we present an extended evaluation using ... [Show full abstract] deep neural multilingual models and language-agnostic regressors on the translation of the original collection into 11 languages.KeywordsNLPText classificationText regressionDeep learningEmotionsValenceArousalMultilingualLanguage-agnostic