Suchergebnisse - Information systems Information retrieval Retrieval tasks and goals Sentiment analysis*

Sentiment analysis for software engineering: how far can we go? von Lin, Bin, Zampetti, Fiorella, Bavota, Gabriele, Di Penta, Massimiliano, Lanza, Michele, Oliveto, Rocco

“… Sentiment analysis has been applied to various software engineering (SE) tasks, such as evaluating app reviews or analyzing developers' emotions in commit messages …”
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Code to Comment "Translation": Data, Metrics, Baselining & Evaluation von Gros, David, Sezhiyan, Hariharan, Devanbu, Prem, Yu, Zhou

“… The relationship of comments to code, and in particular, the task of generating useful comments given the code, has long been of interest …”
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A benchmark study on sentiment analysis for software engineering research von Novielli, Nicole, Girardi, Daniela, Lanubile, Filippo

“… 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 …”
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Entity-level sentiment analysis of issue comments von Ding, Jin, Sun, Hailong, Wang, Xu, Liu, Xudong

“… However, existing work on emotion mining and sentiment analysis is still in the early stage in software engineering in terms of accuracy, the size of datasets used and the specificity of the analysis …”
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A gold standard for emotion annotation in stack overflow von Novielli, Nicole, Calefato, Fabio, Lanubile, Filippo

“… A recent trend that has emerged in empirical software engineering studies is leveraging sentiment analysis of developers' communication traces …”
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A Data-driven Approach for Mining Software Features based on Similar App Descriptions and User Reviews Analysis von Alam, Khubaib Amjad, Ali, Ramsha, Kamran, Zyena, Fatima, Sabeen, Inayat, Irum

“… Determining which features provide a competitive advantage is a complex task, often managed manually by product managers …”
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Sentiment polarity detection for software development von Calefato, Fabio, Lanubile, Filippo, Maiorano, Federico, Novielli, Nicole

“… The role of sentiment analysis is increasingly emerging to study software developers' emotions by mining crowd-generated content within software repositories and information sources …”
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Damage Assessment from Social Media Imagery Data During Disasters von Nguyen, Dat T., Ofli, Ferda, Imran, Muhammad, Mitra, Prasenjit

“… Damage assessment during disasters is a core situational awareness task for many humanitarian organizations that traditionally takes weeks and months …”
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Can We Use SE-specific Sentiment Analysis Tools in a Cross-Platform Setting? von Novielli, Nicole, Calefato, Fabio, Dongiovanni, Davide, Girardi, Daniela, Lanubile, Filippo

“… In this paper, we address the problem of using sentiment analysis tools 'off-the-shelf', that is when a gold standard is not available for retraining …”
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Image4Act: Online Social Media Image Processing for Disaster Response von Alam, Firoj, Imran, Muhammad, Ofli, Ferda

“… We present an end-to-end social media image processing system called Image4Act. The system aims at collecting, denoising, and classifying imagery content posted …”
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Improved Stance Prediction in a User Similarity Feature Space von Darwish, Kareem, Magdy, Walid, Zanouda, Tahar

“… Predicting the stance of social media users on a topic can be challenging, particularly for users who never express explicit stances. Earlier work has shown …”
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Emotion Classification In Software Engineering Texts: A Comparative Analysis of Pre-trained Transformers Language Models von Imran, Mia Mohammad

“… This paper presents a comparative analysis of state-of-the-art Pretrained Language Models (PTMs) for fine-grained emotion classification on two benchmark datasets …”
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Sharing is Caring! Joint Multitask Learning Helps Aspect-Category Extraction and Sentiment Detection in Scientific Peer Reviews von Kumar, Sandeep, Ghosal, Tirthankar, Bharti, Prabhat Kumar, Ekbal, Asif

“… With the rise in research paper submissions, the current peer-review system is experiencing an unprecedented information overload …”
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Dopamin: Transformer-based Comment Classifiers through Domain Post-Training and Multi-level Layer Aggregation von Hai, Nam Le, Bui, Nghi D. Q.

“… Code comments provide important information for understanding the source code. They can help developers understand the overall purpose of a function or class, as well as identify bugs and technical debt …”
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Human Conversation Analysis Using Attentive Multimodal Networks with Hierarchical Encoder-Decoder von Gu, Yue, Li, Xinyu, Huang, Kaixiang, Fu, Shiyu, Yang, Kangning, Chen, Shuhong, Zhou, Moliang, Marsic, Ivan

“… We evaluated our system on published emotion recognition, sentiment analysis, and speaker trait analysis datasets …”
Weitere Angaben

Can Machine Learning Support the Selection of Studies for Systematic Literature Review Updates? von Costalonga, Marcelo, Napoleao, Bianca Minetto, Baldassarre, Maria Teresa, Felizardo, Katia Romero, Steinmacher, Igor, Kalinowski, Marcos

“… [Background] Systematic literature reviews (SLRs) are essential for synthesizing evidence in Software Engineering (SE), but keeping them up-to-date requires …”
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Towards A Reliable Ground-Truth For Biased Language Detection von Spinde, Timo, Krieger, David, Plank, Manuel, Gipp, Bela

“… Reference texts such as encyclopedias and news articles can manifest biased language when objective reporting is substituted by subjective writing. Existing …”
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A Comparative Analysis of Article Recommendation Platforms von Alchokr, Rand, Kruger, Jacob, Saake, Gunter, Leich, Thomas

“… Even though it is a controversial matter, research (e.g., publications, projects, researchers) is regularly evaluated based on some form of scientific impact …”
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Poster: Extracting and Annotating Mental Health Forum Corpus: A Comprehensive Validation Pipeline von Jonnalagadda, Rohith Sundar, Azmee, Abm Adnan, Attota, Dinesh, Al Hafiz Khan, Md Abdullah, Pei, Yong, Nandan, Monica

“… This research emphasizes the essential role of mental health forums as vital online communities providing solace, support, and resources for individuals …”
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A Deep Neural Architecture for Decision-Aware Meta-Review Generation von Kumar, Asheesh, Ghosal, Tirthankar, Ekbal, Asif

“… Automatically generating meta-reviews from peer-reviews is a new and challenging task …”
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