Výsledky vyhledávání - "Information systems Information retrieval Retrieval tasks and goals Sentiment analysis"

Sentiment analysis for software engineering: how far can we go? Autor 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…”
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Code to Comment "Translation": Data, Metrics, Baselining & Evaluation Autor 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. The earliest…”
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Entity-level sentiment analysis of issue comments Autor Ding, Jin, Sun, Hailong, Wang, Xu, Liu, Xudong

“…Emotions and sentiment of software developers can largely influence the software productivity and quality. However, existing work on emotion mining and…”
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A benchmark study on sentiment analysis for software engineering research Autor 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…”
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A gold standard for emotion annotation in stack overflow Autor Novielli, Nicole, Calefato, Fabio, Lanubile, Filippo

“…Software developers experience and share a wide range of emotions throughout a rich ecosystem of communication channels. A recent trend that has emerged in…”
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A Data-driven Approach for Mining Software Features based on Similar App Descriptions and User Reviews Analysis Autor Alam, Khubaib Amjad, Ali, Ramsha, Kamran, Zyena, Fatima, Sabeen, Inayat, Irum

“…Mobile app development necessitates extracting domain-specific, essential, and innovative features that align with user needs and market trends. Determining…”
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Sentiment polarity detection for software development Autor 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…”
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Damage Assessment from Social Media Imagery Data During Disasters Autor Nguyen, Dat T., Ofli, Ferda, Imran, Muhammad, Mitra, Prasenjit

“…Rapid access to situation-sensitive data through social media networks creates new opportunities to address a number of real-world problems. Damage assessment…”
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Can We Use SE-specific Sentiment Analysis Tools in a Cross-Platform Setting? Autor 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. We…”
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Image4Act: Online Social Media Image Processing for Disaster Response Autor 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…”
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Human Conversation Analysis Using Attentive Multimodal Networks with Hierarchical Encoder-Decoder Autor Gu, Yue, Li, Xinyu, Huang, Kaixiang, Fu, Shiyu, Yang, Kangning, Chen, Shuhong, Zhou, Moliang, Marsic, Ivan

“…Human conversation analysis is challenging because the meaning can be expressed through words, intonation, or even body language and facial expression. We…”
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Improved Stance Prediction in a User Similarity Feature Space Autor 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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Dopamin: Transformer-based Comment Classifiers through Domain Post-Training and Multi-level Layer Aggregation Autor 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,…”
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Emotion Classification In Software Engineering Texts: A Comparative Analysis of Pre-trained Transformers Language Models Autor Imran, Mia Mohammad

“…Emotion recognition in software engineering texts is critical for understanding developer expressions and improving collaboration. This paper presents a…”
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Knowledge Transfer in Modern Code Review Autor Caulo, Maria, Lin, Bin, Bavota, Gabriele, Scanniello, Giuseppe, Lanza, Michele

“…Knowledge transfer is one of the main goals of modern code review, as shown by several studies that surveyed and interviewed developers. While knowledge…”
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Can Machine Learning Support the Selection of Studies for Systematic Literature Review Updates? Autor 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 Autor 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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Poster: Extracting and Annotating Mental Health Forum Corpus: A Comprehensive Validation Pipeline Autor 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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Sharing is Caring! Joint Multitask Learning Helps Aspect-Category Extraction and Sentiment Detection in Scientific Peer Reviews Autor Kumar, Sandeep, Ghosal, Tirthankar, Bharti, Prabhat Kumar, Ekbal, Asif

“…The peer-review process is the benchmark of research validation. Peer-reviewed texts are the artifacts via which the editors/chairs decide the…”
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Using the Geneva Emotion Wheel to Measure Perceived Affect in Human-Robot Interaction Autor Coyne, Adam K., Murtagh, Andrew, McGinn, Conor

“…The ability to clearly communicate a wide range of emotional states is considered a desirable trait for social robots. This research proposes that the Geneva…”
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