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Bootstrapping a Lexicon for Emotional Arousal in Software Engineering

Mika V. Mantyla, Nicole Novielli, Filippo Lanubile, Maelick Claes, Miikka Kuutila
2017 2017 IEEE/ACM 14th International Conference on Mining Software Repositories (MSR)  
We present the first version of a Software Engineering Arousal lexicon (SEA) that is specifically designed to address the problem of emotional arousal in the software developer ecosystem.  ...  We show that our lexicon is able to differentiate between issue priorities, which are a source of emotional activation and then act as a proxy for arousal.  ...  We describe the bootstrapping of a software engineering specific lexicon for arousal, which we release for research purposes 1 .  ... 
doi:10.1109/msr.2017.47 dblp:conf/msr/MantylaNLCK17 fatcat:ceifxudgobhxjd7pnxttkvru5q

A Gold Standard for Emotion Annotation in Stack Overflow [article]

Nicole Novielli, Fabio Calefato, Filippo Lanubile
2018 arXiv   pre-print
A recent trend that has emerged in empirical software engineering studies is leveraging sentiment analysis of developers' communication traces.  ...  Our dataset contributes to the building of a shared corpus of annotated resources to support research on emotion awareness in software development.  ...  ACKNOWLEDGMENTS This work is partially funded by the project 'EmoQuest -Investigating the Role of Emotions in Online Question & Answer Sites', funded by MIUR (Ministero dell'Università e della Ricerca)  ... 
arXiv:1803.02300v1 fatcat:7qxmfso6ozdmpc7qsuvzaaaeeu

Sentiment Polarity Detection for Software Development

Fabio Calefato, Filippo Lanubile, Federico Maiorano, Nicole Novielli
2017 Empirical Software Engineering  
The role of sentiment analysis is increasingly emerging to study software developers' emotions by mining crowd-generated content within social software engineering tools.  ...  It exploits a suite of both lexicon- and keyword-based features, as well as semantic features based on word embedding.  ...  Acknowledgments This work is partially supported by the project 'EmoQuest -Investigating the Role of Emotions in Online Question & Answer  ... 
doi:10.1007/s10664-017-9546-9 fatcat:y3vi4w23mveehhkegsph7cq7pq

A benchmark study on sentiment analysis for software engineering research

Nicole Novielli, Daniela Girardi, Filippo Lanubile
2018 Proceedings of the 15th International Conference on Mining Software Repositories - MSR '18  
In this paper, we report a benchmark study to assess the performance and reliability of three sentiment analysis tools specifically customized for software engineering.  ...  A recent research trend has emerged to identify developers' emotions, by applying sentiment analysis to the content of communication traces left in collaborative development environments.  ...  ACKNOWLEDGMENTS This work is partially funded by the project 'EmoQuest -Investigating the Role of Emotions in Online Question & Answer Sites', funded by MIUR (Ministero dell'Università e della Ricerca)  ... 
doi:10.1145/3196398.3196403 dblp:conf/msr/NovielliGL08 fatcat:g2s6ye5uvnaill2ys7pxdid4p4

Perceiving Social-Emotional Volatility and Triggered Causes of COVID-19

Si Jiang, Hongwei Zhang, Jiayin Qi, Binxing Fang, Tingliang Xu
2021 International Journal of Environmental Research and Public Health  
) mechanism for emotional time-series, and (2) backtracking of specific triggered causes of abnormal volatility in a cognitive emotional arousal path.  ...  Experimental results prove that our model provides a solid research basis for enhancing social-emotional security outcomes.  ...  For new words in the field, a large unlabeled corpus by Sogou, a Chinese search engine, was utilized to correct and expand current Chinese sentiment dictionaries [14] , and a deep learning neural network  ... 
doi:10.3390/ijerph18094591 pmid:33926072 fatcat:qnx2aami3nb5nnnetlaxjhthta

Sentiment Analysis: Automatically Detecting Valence, Emotions, and Other Affectual States from Text [article]

Saif M. Mohammad
2021 arXiv   pre-print
Further, analysis of emotions in text, from news to social media posts, is improving our understanding of not just how people convey emotions through language but also how emotions shape our behaviour.  ...  We also discuss discuss how, without careful fore-thought, sentiment analysis has the potential for harmful outcomes.  ...  Much of the work in the 1990s and 2000s represented sentences by carefully hand-engineered vectors, for example, whether the sentence has a particular word, whether the word is listed as a positive term  ... 
arXiv:2005.11882v2 fatcat:nbx6lopkmnebhgm6mjrpchsqgy

Is there a language of sentiment? An analysis of lexical resources for sentiment analysis

Ann Devitt, Khurshid Ahmad
2013 Language Resources and Evaluation  
In order to facilitate the task of selecting lexical resources for automated SA systems, this paper sets out a detailed analysis of four widely used sentiment lexica.  ...  In recent years, sentiment analysis (SA) has emerged as a rapidly expanding field of application and research in the area of information retrieval.  ...  a series of emotion dimension experiments by Watson and Tellegen (1985) are valence and arousal.  ... 
doi:10.1007/s10579-013-9223-6 fatcat:7esdajnwtbhsxprmsdlbcbe7za

Understanding the Impact of Emotions on the Quality of Software Artifacts

Khaled M. Khan, Moutaz Saleh
2021 IEEE Access  
This paper proposes a framework for investigating the impact of emotions on the quality of software artifacts and portrays some observations captured during the development of several software engineering  ...  Similarly, negative emotions sometimes result in a positive impact on the quality of artifacts.  ...  The researchers in [42] attempt to use a general purpose Valence, Arousal and Dominance (VAD) lexicon, and apply this to a large database of software development process.  ... 
doi:10.1109/access.2021.3102663 fatcat:plbi4fsidzb5rhyzphaiwspwx4

The effects of eWOM characteristics on consumer ratings: evidence from TripAdvisor.com

Yeohong Yoon, Alex Jiyoung Kim, Jeeyeon Kim, Jeonghye Choi
2019 International Journal of Advertising  
An example of such a lexicon that has been widely used in the social media domain is the Linguistic Inquiry and Word Count (LIWC, pronounced "Luke") (Pennebaker,  ...  ) which are specifically attuned to sentiment in microblog-like contexts.  ...  Semantic Orientation (Polarity-based) Lexicons LIWC is text analysis software designed for studying the various emotional, cognitive, structural, and process components present in text samples.  ... 
doi:10.1080/02650487.2018.1541391 fatcat:g5hjyapssbcnvh7sfryh4evmfa

Towards a Theory of Affect and Software Developers' Performance [article]

Daniel Graziotin
2016 arXiv   pre-print
A mixed method approach was employed, which comprises studies of the literature in psychology and SE, quantitative experiments, and a qualitative study, for constructing a multifaceted theory of the link  ...  For more than thirty years, it has been claimed that a way to improve software developers' productivity and software quality is to focus on people.  ...  Instead of employing commercial sentimental analysis software, the authors built their own tool through a lexicon for detecting emotions in the title and the body of the issues.  ... 
arXiv:1601.05330v2 fatcat:zxbyewmndrbtxprrj4sudftqxe

Emotions ontology for collaborative modelling and learning of emotional responses

Rosa Gil, Jordi Virgili-Gomá, Roberto García, Cindy Mason
2015 Computers in Human Behavior  
EmotionsOnto is a generic ontology for describing emotions and their detection and expression systems taking contextual and multimodal elements into account.  ...  The ontology has been applied in the context of EmoCS, a project that collaboratively collects emotion common sense and models it using the EmotionsOnto and other ontologies.  ...  Acknowledgements This work has been partially supported by the research project InDAGuS (Spanish Government TIN2012-37826-C02) Infrastructures for Sustainable Open Government Data with Geospatial Features  ... 
doi:10.1016/j.chb.2014.11.100 fatcat:v6ftsaknujao3hirikwqofo4hu

Linguistic and multilingual issues in virtual worlds and serious games: a general review

Samuel Cruz-Lara, Alexandre Denis, Nadia Bellalem
2014 Journal of Virtual Worlds Research  
Within a globalized world, the need for linguistic support is increasing every day.  ...  Linguistic information, and in particular multilingual textual information, plays a significant role for describing digital content: information describing pictures or video sequences, general information  ...  Another approach is to build directly the lexicon for the target language, by lexicon-crawling and bootstrapping techniques.  ... 
doi:10.4101/jvwr.v7i1.7084 fatcat:ozxbgwj3t5c4hkt5racpvqfmze

Over a Decade of Social Opinion Mining [article]

Keith Cortis, Brian Davis
2020 arXiv   pre-print
These can be utilised in many application areas, ranging from marketing, advertising and sales for product/service management, and in multiple domains and industries, such as politics, technology, finance  ...  Such multi-source information fusion plays a fundamental role in mining of people's social opinions from social media platforms.  ...  /envy/annoyance 12. emotion score (a) valence/arousal/dominance ranging from 1 (low) to 9 (high) (b) prediction/valence/arousal/outcome from 0 (low) to 100 (high) 13. emotion intensity (a) 0 (  ... 
arXiv:2012.03091v1 fatcat:bm5nydbdvbalzi33l3w2ivkdja

Text-based Sentiment Analysis and Music Emotion Recognition [article]

Erion Çano
2018 arXiv   pre-print
Combining convolutions of words, bigrams, and trigrams with regional max-pooling layers in a couple of stacks produced the best results.  ...  Regarding the first problem, the effectiveness of various crowdsourcing alternatives is explored and two medium-sized and emotion-labeled song data sets are created utilizing social tags.  ...  It represents music emotions as points in a twodimensional plane of valence and arousal dimensions as shown in Figure 3 . 1 .  ... 
arXiv:1810.03031v1 fatcat:4vj4euwtxbghbjdev2gutcgjny

On Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning [article]

Marco Ortu, Nicola Uras, Claudio Conversano, Giuseppe Destefanis, Silvia Bartolucci
2021 arXiv   pre-print
We devised the experiments using the advanced bootstrap technique to consider the variance problem on test samples, which allowed us to evaluate a more reliable estimate of the model's performance.  ...  for the restricted model, to 67-84% for the unrestricted model.  ...  the technical jargon language of software developers and engineers.  ... 
arXiv:2102.08189v2 fatcat:iahragw6fzblvanhqowilsphnu
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