PolyHope: Two-level hope speech detection from tweets

Balouchzahi, Fazlourrahman; Sidorov, Grigori; Gelbukh, Alexander

doi:10.1016/j.eswa.2023.120078

Cited by 7 publications

(13 citation statements)

References 34 publications

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“…Thus, it is evident that hope is not exclusively tied to positivity and can be influenced by or trigger other emotions and sentiments. Hence, Balouchzahi et al (2023) presented another perspective for hope speech, addressing the limitations of the previous study by providing a more nuanced definition of hope based on psychology and considering potential negative emotions in the expression of hope. Balouchzahi et al (2023) described hope as "an expectation, wish, or desire for something to happen or to be true".…”

Section: Introductionmentioning

confidence: 99%

“…Hence, Balouchzahi et al (2023) presented another perspective for hope speech, addressing the limitations of the previous study by providing a more nuanced definition of hope based on psychology and considering potential negative emotions in the expression of hope. Balouchzahi et al (2023) described hope as "an expectation, wish, or desire for something to happen or to be true". In other words, hope was defined as a uniquely human faculty enabling individuals to visualize forthcoming events and their potential outcomes with adaptability (Balouchzahi et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

“…Balouchzahi et al (2023) described hope as "an expectation, wish, or desire for something to happen or to be true". In other words, hope was defined as a uniquely human faculty enabling individuals to visualize forthcoming events and their potential outcomes with adaptability (Balouchzahi et al, 2023). Despite the remote possibility of desired outcomes, hope profoundly influences emotions, actions, and mental disposition (Bruininks and Malle, 2005).…”

Section: Introductionmentioning

confidence: 99%

“…Despite the remote possibility of desired outcomes, hope profoundly influences emotions, actions, and mental disposition (Bruininks and Malle, 2005). In the PolyHope dataset developed by Balouchzahi et al (2023), the hope speech detection task was modeled as a two-level, text classification task in which first, each English tweet was, first classified as Hope (as expectation) and Not Hope (absence of any expression of any expectation), then the pre-identified Hope tweets were further fine-grained into Generalized, Realistic, Unrealistic hopes. The definition of each type of hope is presented in Table 1 and some annotated samples from Poly-Hope dataset are presented in Table 2.…”

Section: Introductionmentioning

confidence: 99%

“…Several studies investigate various NLP techniques for detecting hope speech, as discussed in Section 2. These techniques range from n-grams with traditional machine learning models and word embeddings with neural networks to language models and transformers (Balouchzahi et al, 2023;Sidorov et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Exploring Multidimensional Aspects of Hope Speech Computationally: A Psycholinguistic and Emotional Perspective

Arif,

Tash,

Jamshidi

et al. 2024

Preprint

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Hope is a vital coping mechanism, enabling individuals to effectively confront life's challenges. This study proposes a technique employing Natural Language Processing (NLP) tools like Linguistic Inquiry and Word Count (LIWC), NRC-emotion-lexicon, and vaderSentiment to analyze social media posts, extracting psycholinguistic, emotional, and sentimental features from a hope speech dataset. The findings of this study reveal distinct cognitive, emotional, and communicative characteristics and psycholinguistic dimensions, emotions, and sentiments associated with different types of hope shared in social media. Furthermore, the study explores the potential of using this data to classify various hope types via machine learning algorithms. Notably, models such as LightGBM and CatBoost exhibit promising performance, outperforming traditional methods and rivaling deep learning techniques.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Exploring Multidimensional Aspects of Hope Speech Computationally: A Psycholinguistic and Emotional Perspective

Arif,

Tash,

Jamshidi

et al. 2024

Preprint

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Multilingual hope speech detection: A Robust framework using transfer learning of fine-tuning RoBERTa model

Malik,

Nazarova,

Jamjoom

et al. 2023

Journal of King Saud University - Computer and Information Scie

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Psycholinguistic and emotion analysis of cryptocurrency discourse on X platform

Tash,

Kolesnikova,

Ahani

et al. 2024

Sci Rep

Self Cite

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This paper provides an extensive examination of a sizable dataset of English tweets focusing on nine widely recognized cryptocurrencies, specifically Cardano, Binance, Bitcoin, Dogecoin, Ethereum, Fantom, Matic, Shiba, and Ripple. Our goal was to conduct a psycholinguistic and emotional analysis of social media content associated with these cryptocurrencies. Such analysis can enable researchers and experts dealing with cryptocurrencies to make more informed decisions. Our work involved comparing linguistic characteristics across the diverse digital coins, shedding light on the distinctive linguistic patterns emerging in each coin’s community. To achieve this, we utilized advanced text analysis techniques. Additionally, this work unveiled an understanding of the interplay between these digital assets. By examining which coin pairs are mentioned together most frequently in the dataset, we established co-mentions among different cryptocurrencies. To ensure the reliability of our findings, we initially gathered a total of 832,559 tweets from X. These tweets underwent a rigorous preprocessing stage, resulting in a refined dataset of 115,899 tweets that were used for our analysis. Overall, our research offers valuable perception into the linguistic nuances of various digital coins’ online communities and provides a deeper understanding of their interactions in the cryptocurrency space.

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PolyHope: Two-level hope speech detection from tweets

Cited by 7 publications

References 34 publications

Exploring Multidimensional Aspects of Hope Speech Computationally: A Psycholinguistic and Emotional Perspective

Exploring Multidimensional Aspects of Hope Speech Computationally: A Psycholinguistic and Emotional Perspective

Multilingual hope speech detection: A Robust framework using transfer learning of fine-tuning RoBERTa model

Psycholinguistic and emotion analysis of cryptocurrency discourse on X platform

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