Opinion mining for software development: a systematic literature review
Opinion mining, sometimes referred to as sentiment analysis, has gained increasing
attention in software engineering (SE) studies. SE researchers have applied opinion mining …
attention in software engineering (SE) studies. SE researchers have applied opinion mining …
Sentiment analysis tools in software engineering: A systematic mapping study
Context: Software development is a collaborative task. Previous research has shown social
aspects within development teams to be highly relevant for the success of software projects …
aspects within development teams to be highly relevant for the success of software projects …
Sentiment analysis for software engineering: How far can pre-trained transformer models go?
Extensive research has been conducted on sentiment analysis for software engineering
(SA4SE). Researchers have invested much effort in developing customized tools (eg …
(SA4SE). Researchers have invested much effort in developing customized tools (eg …
On the validity of pre-trained transformers for natural language processing in the software engineering domain
J Von der Mosel, A Trautsch… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Transformers are the current state-of-the-art of natural language processing in many
domains and are using traction within software engineering research as well. Such models …
domains and are using traction within software engineering research as well. Such models …
Optimal trained long short-term memory for opinion mining: a hybrid semantic knowledgebase approach
This study describes a hybrid semantic knowledgebase-machine learning strategy for
mining domain feature-level opinions and categorizing them on a multi-point scale. A …
mining domain feature-level opinions and categorizing them on a multi-point scale. A …
Aspect-based api review classification: How far can pre-trained transformer model go?
APIs (Application Programming Interfaces) are reusable software libraries and are building
blocks for modern rapid software development. Previous research shows that programmers …
blocks for modern rapid software development. Previous research shows that programmers …
Automatic extraction of opinion-based Q&A from online developer chats
P Chatterjee, K Damevski… - 2021 IEEE/ACM 43rd …, 2021 - ieeexplore.ieee.org
Virtual conversational assistants designed specifically for software engineers could have a
huge impact on the time it takes for software engineers to get help. Research efforts are …
huge impact on the time it takes for software engineers to get help. Research efforts are …
Understanding how and why developers seek and analyze API-related opinions
With the advent and proliferation of online developer forums as informal documentation,
developers often share their opinions about the APIs they use. Thus, opinions of others often …
developers often share their opinions about the APIs they use. Thus, opinions of others often …
On the subjectivity of emotions in software projects: How reliable are pre-labeled data sets for sentiment analysis?
Social aspects of software projects become increasingly important for research and practice.
Different approaches analyze the sentiment of a development team, ranging from simply …
Different approaches analyze the sentiment of a development team, ranging from simply …
An Empirical Evaluation of the Zero-shot, Few-shot, and Traditional Fine-tuning Based Pretrained Language Models for Sentiment Analysis in Software Engineering
Recent advances in natural language processing (NLP) have led to the development of
revolutionized pretrained language models (PLMs) impacting various NLP tasks, including …
revolutionized pretrained language models (PLMs) impacting various NLP tasks, including …