A review of sentiment analysis: tasks, applications, and deep learning techniques

NA Sharma, ABMS Ali, MA Kabir - International journal of data science and …, 2024 - Springer
Sentiment analysis, a transformative force in natural language processing, revolutionizes
diverse fields such as business, social media, healthcare, and disaster response. This …

[HTML][HTML] Prediction of the customers' interests using sentiment analysis in e-commerce data for comparison of Arabic, English, and Turkish languages

P Savci, B Das - Journal of King Saud University-Computer and …, 2023 - Elsevier
In the business world, large companies that can achieve continuity in innovation gain a
significant competitive advantage. The sensitivity of these companies to follow and monitor …

Revisiting sentiment analysis for software engineering in the era of large language models

T Zhang, IC Irsan, F Thung, D Lo - arXiv preprint arXiv:2310.11113, 2023 - arxiv.org
Software development is an inherently collaborative process, where various stakeholders
frequently express their opinions and emotions across diverse platforms. Recognizing the …

On the subjectivity of emotions in software projects: How reliable are pre-labeled data sets for sentiment analysis?

M Herrmann, M Obaidi, L Chazette, J Klünder - Journal of Systems and …, 2022 - Elsevier
Social aspects of software projects become increasingly important for research and practice.
Different approaches analyze the sentiment of a development team, ranging from simply …

Factors affecting mHealth technology adoption in developing countries: the case of Egypt

GRE Said - Computers, 2022 - mdpi.com
Mobile health apps are seeing rapid growth in the potential to improve access to healthcare
services for disadvantaged communities, while enhancing the efficiency of the healthcare …

" Looks Good To Me;-)": Assessing Sentiment Analysis Tools for Pull Request Discussions

D Coutinho, L Cito, MV Lima, B Arantes… - Proceedings of the 28th …, 2024 - dl.acm.org
Modern software development relies on cloud-based collaborative platforms (eg, GitHub
and GitLab). In these platforms, developers often employ a pull-based development …

Fuzzy ensemble of fined tuned BERT models for domain-specific sentiment analysis of software engineering dataset

Z Anwar, H Afzal, N Altaf, S Kadry, J Kim - Plos one, 2024 - journals.plos.org
Software engineers post their opinions about various topics on social media that can be
collectively mined using Sentiment Analysis. Analyzing this opinion is useful because it can …

Sentiment Analysis for Requirements Elicitation from App Reviews: A Systematic Mapping Study

H Wan, Z An, B Wang, T Xiong - 2023 30th Asia-Pacific …, 2023 - ieeexplore.ieee.org
In software stores, user reviews are the most direct feedback on product experiences and
requirements. Sentiment analysis (SA) technology has been proven to be efficient for review …

What are the emotions of developers towards deep learning documentation?-An exploratory study on Stack Overflow posts

ASM Venigalla, S Chimalakonda - Information and Software Technology, 2024 - Elsevier
Context: Non native machine learning and deep learning (DL) developers face several
challenges in using DL frameworks owing to the issues persistent in DL documentation …

What Makes Programmers Laugh? Exploring the Submissions of the Subreddit r/ProgrammerHumor.

M Kuutila, L Rantala, J Li, S Hosio… - Proceedings of the 18th …, 2024 - dl.acm.org
Background: Humor is a fundamental part of human communication, with prior work linking
positive humor in the workplace to positive outcomes, such as improved performance and …