ArticleArtificial intelligence review2023
Survey on sentiment analysis: evolution of research methods and topics.
Article in Artificial intelligence review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Use of chat GPT for sentiment and readability analysis of nutrition articles in legacy media.JAMIA open · 2026Article
- Scientific reports multi relational dual attention graph transformer for fine grained sentiment analysis.Scientific reports · 2026Article
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- Analyzing sentiment shifts in news coverage of occupational accidents: A case study of the Amasra mining disaster in Türkiye.Work (Reading, Mass.) · 2026Article
- Sentiment classification optimization based on improved Senti-BERT and BiLSTM-Attention.PloS one · 2026Article
- Analyzing gendered patterns in sentiments in comments under STEM YouTube channels.Frontiers in artificial intelligence · 2026Article
- ViralMultiNet: A structure-aware multimodal framework for viral protein function prediction in wastewater surveillance.PloS one · 2026Article
- Using EEG technology to enhance performance measurement in physical education.Frontiers in public health · 2025Article
- Article
- Article
- Evaluating sentiment analysis models in healthcare: addressing bias and enhancing interpretability.Frontiers in public health · 2025Article
- Sentiment analysis of social media for enhancing disaster response strategies.Frontiers in public health · 2025Article
- Use of ChatGPT to Explore Gender and Geographic Disparities in Scientific Peer Review.Journal of medical Internet research · 2024Article
- In the heart of Swahili: An exploration of data collection methods and corpus curation for natural language processing.Data in brief · 2024Article
- Sentiment analysis of Arabic social media texts: A machine learning approach to deciphering customer perceptions.Heliyon · 2024Article
- Unveiling factors influencing judgment variation in sentiment analysis with natural language processing and statistics.PloS one · 2024Article
- Unveiling Vaccine Hesitancy on Twitter: Analyzing Trends and Reasons during the Emergence of COVID-19 Delta and Omicron Variants.Vaccines · 2023Article
- Research on performance variations of classifiers with the influence of pre-processing methods for Chinese short text classification.PloS one · 2023Article
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sentiment analysis, one of the research hotspots in the natural language processing field, has attracted the attention of researchers, and research papers on the field are increasingly published. Many literature reviews on sentiment analysis involving techniques, methods, and applications have been produced using different survey methodologies and tools, but there has not been a survey dedicated to the evolution of research methods and topics of sentiment analysis. There have also been few survey works leveraging keyword co-occurrence on sentiment analysis. Therefore, this study presents a survey of sentiment analysis focusing on the evolution of research methods and topics. It incorporates keyword co-occurrence analysis with a community detection algorithm. This survey not only compares and analyzes the connections between research methods and topics over the past two decades but also uncovers the hotspots and trends over time, thus providing guidance for researchers. Furthermore, this paper presents broad practical insights into the methods and topics of sentiment analysis, while also identifying technical directions, limitations, and future work.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.