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Choosing your weapons: On sentiment analysis tools for software engineering research

Robbert Jongeling, Subhajit Datta, Alexander Serebrenik
2015 2015 IEEE International Conference on Software Maintenance and Evolution (ICSME)  
Furthermore, we evaluate the impact of the choice of a sentiment analysis tool on software engineering studies by conducting a simple study of differences in issue resolution times for positive, negative  ...  We repeat the study for seven datasets (issue trackers and STACK OVERFLOW questions) and different sentiment analysis tools and observe that the disagreement between the tools can lead to contradictory  ...  ACKNOWLEDGEMENTS We are very grateful to Alessandro Murgia and Marco Ortu for making their datasets available for our study, and to Bogdan Vasilescu for providing feedback on the preliminary version of  ... 
doi:10.1109/icsm.2015.7332508 dblp:conf/icsm/JongelingDS15 fatcat:6jgkrty6b5aslmvwc4c4hkh3ta

Sentiment Analysis for Software Engineering Domain in Turkish

Mansur Alp TOÇOĞLU
2020 Sakarya University Journal of Computer and Information Sciences  
The focus of this study is to provide a model to be used for the identification of sentiments of comments about education and profession life of software engineering in social media and microblogging sites  ...  Such a pre-trained model can be useful to evaluate students' and software engineers' feedbacks about software engineering.  ...  In this paper, we present a machine learning based approach for sentiment analysis on software engineering students' feedbacks about software engineering education and professional life.  ... 
doi:10.35377/saucis.03.03.769969 fatcat:gbkk4hz4uvfmhb65sjc4xszaqq

Assessment of off-the-shelf SE-specific sentiment analysis tools: An extended replication study

Nicole Novielli, Fabio Calefato, Filippo Lanubile, Alexander Serebrenik
2021 Empirical Software Engineering  
We investigate to what extent off-the-shelf SE-specific tools for sentiment analysis mitigate the threats to conclusion validity of empirical studies in software engineering, highlighted by previous research  ...  Since general-purpose sentiment analysis tools do not fit well with the information exchanged by software developers, new tools, specific for software engineering (SE), have been developed.  ...  Acknowledgments We would like to thank Marika Redavid for her contribution in the early stage of this project.  ... 
doi:10.1007/s10664-021-09960-w fatcat:hxtm4avopjgwvdf2k5xur2fce4

BERT-Based Sentiment Analysis: A Software Engineering Perspective [article]

Himanshu Batra, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
2021 arXiv   pre-print
Sentiment analysis can provide a suitable lead for the tools used in software engineering along with the API recommendation systems and relevant libraries to be used.  ...  The paper presents three different strategies to analyse BERT based model for sentiment analysis, where in the first strategy the BERT based pre-trained models are fine-tuned; in the second strategy an  ...  We extend our thanks to our colleagues for their valuable guidance and suggestions.  ... 
arXiv:2106.02581v3 fatcat:grp55d3j3zbf3pg7ri2urechuu

On negative results when using sentiment analysis tools for software engineering research

Robbert Jongeling, Proshanta Sarkar, Subhajit Datta, Alexander Serebrenik
2017 Empirical Software Engineering  
Furthermore, we evaluate the impact of the choice of a sentiment analysis tool on software engineering studies by conducting a simple study of differences in issue resolution times for positive, negative  ...  We repeat the study for seven datasets (issue trackers and STACK OVERFLOW questions) and different sentiment analysis tools and observe that the disagreement between the tools can lead to diverging conclusions  ...  Acknowledgments We are very grateful to Alessandro Murgia and Marco Ortu for making their datasets available for our study, and to Bogdan Vasilescu and reviewers of ICSME 2015 for providing feedback on  ... 
doi:10.1007/s10664-016-9493-x fatcat:wpqvm44ov5d3zctzo6mwd6cz4m

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.  ...  Trying to overcome the limitations posed by using off-the-shelf sentiment analysis tools, researchers recently started to develop their own tools for the software engineering domain.  ...  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

How Angry are Your Customers? Sentiment Analysis of Support Tickets that Escalate

Colin Werner, Gabriel Tapuc, Lloyd Montgomery, Diksha Sharma, Sanja Dodos, Daniela Damian
2018 2018 1st International Workshop on Affective Computing for Requirements Engineering (AffectRE)  
Software support ticket escalations can be an extremely costly burden for software organizations all over the world.  ...  This paper explores the use of sentiment analysis tools on customer-support analyst conversations to find indicators of when a particular support ticket may be escalated.  ...  Our research provides additional novel contributions in two directions. First, we provide positive results of how off-theshelf sentiment analysis tools can be used in the software engineering domain.  ... 
doi:10.1109/affectre.2018.00006 dblp:conf/re/WernerTMSDD18 fatcat:v4bzie5xafg7pheqxaxcevgdj4

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 Classification using N-gram IDF and Automated Machine Learning [article]

Rungroj Maipradit, Hideaki Hata, Kenichi Matsumoto
2019 arXiv   pre-print
For feature representation, n-gram IDF is used to extract software-engineering-related, dataset-specific, positive, neutral, and negative n-gram expressions.  ...  In the comparison using publicly available datasets, our method achieved the highest F1 values in positive and negative sentences on all datasets.  ...  Because of the poor accuracy of existing sentiment analysis tools trained with general sentiment expressions [4] , recent studies have tried to customize such tools with software engineering datasets  ... 
arXiv:1904.12162v2 fatcat:cp7javhekjdvtkwynpd53js5ru

Exploiting the Unique Expression for Improved Sentiment Analysis in Software Engineering Text [article]

Kexin Sun, Hui Gao, Hongyu Kuang, Xiaoxing Ma, Guoping Rong, Dong Shao, He Zhang
2021 arXiv   pre-print
Sentiment analysis on software engineering (SE) texts has been widely used in the SE research, such as evaluating app reviews or analyzing developers sentiments in commit messages.  ...  Unfortunately, recent work reported that current mainstream tools for sentiment analysis still cannot provide reliable results when analyzing the sentiments in SE texts.  ...  We name our approach as SESSION (SentEnce-Structure-based SentIment analysis for sOftware eNgineering).  ... 
arXiv:2103.13154v1 fatcat:mklmwpio2naifh42osg4763z5e

The emotional side of software developers in JIRA

Marco Ortu, Alessandro Murgia, Giuseppe Destefanis, Parastou Tourani, Roberto Tonelli, Michele Marchesi, Bram Adams
2016 Proceedings of the 13th International Workshop on Mining Software Repositories - MSR '16  
The enriched dataset presented in this paper allows the investigation of the role of a↵ects in software development.  ...  For the latter, issue tracking systems can be mined to explore developers emotions, sentiments and politeness -a↵ects for short.  ...  the role of affects in software engineering.  ... 
doi:10.1145/2901739.2903505 dblp:conf/msr/OrtuMDTTMA16 fatcat:ausznnl6ovhznm37snlxjdiukq

Neural Sentiment Analysis of User Reviews to Predict User Ratings

Bahar Gezici, Necva Bolucu, Ayca Tarhan, Burcu Can
2019 2019 4th International Conference on Computer Science and Engineering (UBMK)  
The signifcance of user satisfaction is increasing in the competitive open source software (OSS) market.  ...  Application stores let users send their feedbacks for applications, which are in the form of user reviews or ratings.  ...  In the last years, interest in sentiment analysis in software engineering domain has risen signifcantly.  ... 
doi:10.1109/ubmk.2019.8907234 fatcat:ebrif4ykorbhhjoup27yrfqqky

Exploring Diverse Features for Sentiment Quantification using Machine Learning Algorithms

Kashif Ayyub, Saqib Iqbal, Ehsan Ullah Munir, Muhammad Wasif Nisar, Momna Abbasi
2020 IEEE Access  
In this paper, we explore diverse feature sets and classifiers for sentiment quantification.  ...  Sentiment analysis has vast applications in different fields of life, such as marketing, e-commerce and business.  ...  Third dataset is Sanders which is widely used for Sentiment Analysis.  ... 
doi:10.1109/access.2020.3011202 fatcat:uwv5ai4emzhq7euzvuv75afbr4

Comparison of Classification Algorithms on Twitter Data Using Sentiment Analysis

2020 International Journal of Advanced Trends in Computer Science and Engineering  
In this paper we have explored sentiment analysis using two classification algorithms i.e.  ...  For the past few decades tremendous effort were dedicated for sentiment analysis. One of the uses of sentiment analysis is to get customers view of a product or company.  ...  Now, with this project developer of various software companies can develop software based on sentiment analysis through SVM as it is more efficient.  ... 
doi:10.30534/ijatcse/2020/179952020 fatcat:awzqyifkxzbh5efbvkvrcey4ry

Learning Sentiment Analysis for Accessibility User Reviews

Wajdi Aljedaani, Furqan Rustam, Stephanie Ludi, Ali Ouni, Mohamed Wiem Mkaouer
2021 Zenodo  
This is the dataset that accompanies the study: "Learning Sentiment Analysis for Accessibility User Reviews."  ...  This study has been accepted for publication at 2021 36th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) Following is the abstract of the study: Nowadays, people use  ...  Accessibility Dataset Step 3 Sentiment Analysis Step 6  ... 
doi:10.5281/zenodo.5540623 fatcat:nxdu5tyxyjeybc7qp3v7fh4k74
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