Brain sciences

Sensors (Basel, Switzerland)

Computers in biology and medicine

Journal of medical Internet research

International journal of environmental research and public health

Journal of environmental management

neural networks : the official journal of the international neural network society

Studies in health technology and informatics

Journal of affective disorders

Computational Intelligence and Neuroscience

journal of information systems engineering and business intelligence

ieee transactions on visualization and computer graphics

journal of biomedical informatics

american journal of audiology

telemedicine journal and e-health : the official journal of the american telemedicine association

journal of biomedical semantics

language resources and evaluation

[1] Sentiment Analysis in the Sales Review of Indonesian Marketplace by Utilizing Support Vector Machine

[2] Use of facebook to engage water customers: A comprehensive study of current U.K. and Australian practices and trends.

[3] What do patients learn about psychotropic medications on the web? A natural language processing study.

[4] Exploring the impact of online information signals in leveraging the economic returns of physicians.

[5] Consumer Opinion of Personal Sound Amplification Products: A Preliminary Sentiment Analysis.

[6] Stroke Survivors on Twitter: Sentiment and Topic Analysis From a Gender Perspective.

[7] Towards Emotion-Sensitive Conversational User Interfaces in Healthcare Applications.

[8] Semi-supervised distributed representations of documents for sentiment analysis.

[9] VASSL: A Visual Analytics Toolkit for Social Spambot Labeling.

[10] Detecting and Monitoring Hate Speech in Twitter.

[11] Building and evaluating resources for sentiment analysis in the Greek language.

[12] KLOSURE: Closing in on open-ended patient questionnaires with text mining.

[13] Data Mining of the Reviews from Online Private Doctors.

[14] Understanding an Urban Park through Big Data.

[15] Sentiment Analysis and Emotion Understanding during the COVID-19 Pandemic in Spain and Its Impact on Digital Ecosystems.

[16] Studying Public Perception about Vaccination: A Sentiment Analysis of Tweets

[17] Using Social Media Data to Understand the Impact of Promotional Information on Laypeople’s Discussions: A Case Study of Lynch Syndrome

[18] attitudes expressed in online comments about environmental factors in the tourism sector: an exploratory study

[19] Overcoming Alzheimer's Disease Stigma by Leveraging Artificial Intelligence and Blockchain Technologies.

[20] Sentiment Analysis for Fake News Detection

[21] Food Communication and its Related Sentiment in Local and Organic Food Videos on YouTube.

[22] Performance Assessment of Multiple Classifiers Based on Ensemble Feature Selection Scheme for Sentiment Analysis

[23] Sentiment Analysis in the Sales Review of Indonesian Marketplace by Utilizing Support Vector Machine

[24] Corrigendum: Sentiment Analysis in the Sales Review of Indonesian Marketplace by Utilizing Support Vector Machine

[25] Sentiment Analysis of Film Reviews Based on Semantic Rules and Extended Domain Sentiment Dictionary

[26] Sentiment Analysis of the News Media on Artificial Intelligence Does Not Support Claims of Negative Bias Against Artificial Intelligence.

[27] Correction to: Detection and classification of social media-based extremist affiliations using sentiment analysis techniques (Human-centric Computing and Information Sciences, (2019), 9, 1, (24), 10.1186/s13673-019-0185-6)

[28] The Diffusion of News Applying Sentiment Analysis and Impact on Human Behavior Through Social Media

[29] Lexicon-based Twitter sentiment analysis for vote share prediction using emoji and N-gram features

[30] Emoji-Based Sentiment Analysis of Arabic Microblogs Using Machine Learning

[31] Sentiment Analysis of Tweets Including Emoji Data

[32] What does your tweet emotion mean? Neural emoji prediction for sentiment analysis

[33] Twitter sentiment analysis via bi-sense emoji embedding and attention-based LSTM

[34] Creating emoji lexica from unsupervised sentiment analysis of their descriptions

[35] Sentiment analysis of marijuana content via facebook emoji-based reactions

[36] Correction to: A novel adaptable approach for sentiment analysis on big social data (Journal of Big Data, (2018), 5, 1, (12), 10.1186/s40537-018-0120-0)

[37] Consumer Opinion of Personal Sound Amplification Products: A Preliminary Sentiment Analysis.

[38] Understanding Patient Attitudes Toward Multifocal Intraocular Lenses in Online Medical Forums Through Sentiment Analysis.

[39] Semi-supervised distributed representations of documents for sentiment analysis.

[40] Interdisciplinary optimism? Sentiment analysis of Twitter data.

[41] Short Text Sentiment Analysis of Micro-blog Based on BERT

[42] Short-text sentiment analysis based on windowed word vector

[43] Sentiment Analysis on Online Product Reviews

[44] Aspect-Based Sentiment Analysis Using Deep Learning Convolutional Neural Network

[45] Sentiment Analysis for Scraping of Product Reviews from Multiple Web Pages Using Machine Learning Algorithms

[46] Sentiment Analysis on Tweets for Trains Using Machine Learning

[47] World Perception of the Latest Events in Egypt Based on Sentiment Analysis of the Guardian’s Related Articles

[48] Potential data sources for sentiment analysis tools for municipal management based on empirical research

[49] Dynamic mode-based feature with random mapping for sentiment analysis

[50] Fuzzy rule based unsupervised sentiment analysis from social media posts

[51] Representing sentiment analysis results of online reviews using interval type-2 fuzzy numbers and its application to product ranking

[52] Topic modeling and sentiment analysis of global climate change tweets

[53] Social context in sentiment analysis: Formal definition, overview of current trends and framework for comparison

[54] Character level embedding with deep convolutional neural network for text normalization of unstructured data for Twitter sentiment analysis

[55] Fusion of EEG response and sentiment analysis of products review to predict customer satisfaction

[56] An image-text consistency driven multimodal sentiment analysis approach for social media

[57] Building Dynamic Lexicons for Sentiment Analysis

[58] Social Media Data-Based Sentiment Analysis of Tourists’ Air Quality Perceptions

[59] SAFE: A Sentiment Analysis Framework for E-Learning

[60] Sentiment analysis as tool for gender mainstreaming in slum rehabilitation housing management in Mumbai, India

[61] Aspect-level sentiment analysis based on a generalized probabilistic topic and syntax model

[62] Sentiment analysis for a resource poor language-Roman Urdu

[63] Sentiment Analysis in E-commerce Using SVM on Roman Urdu Text

[64] Deep Learning-Based Sentiment Analysis for Roman Urdu Text

[65] Discriminative Feature Spamming Technique for Roman Urdu Sentiment Analysis

[66] Sentiment analysis system for Roman Urdu

[67] Sentiment Analysis for Roman Urdu

[68] Sentiment Analysis for Words and Fiction Characters From the Perspective of Computational (Neuro-)Poetics

[69] Building and evaluating resources for sentiment analysis in the Greek language.

[70] Emoticon and text sarcasm detection in sentiment analysis

[71] Sarcasm detection in twitter using sentiment analysis

[72] A proposed approach for sentiment analysis and sarcasm detection on textual data

[73] Modified framework for sarcasm detection and classification in sentiment analysis

[74] Sarcasm Detection For Sentiment Analysis in Indonesian Tweets

[75] Modeling narrative structure and dynamics with networks, sentiment analysis, and topic modeling.

[76] Toward multi-label sentiment analysis: a transfer learning based approach

[77] Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers

[78] An assessment of opinions and perceptions of smart thermostats using aspect-based sentiment analysis of online reviews

[79] Semantic-based padding in convolutional neural networks for improving the performance in natural language processing. A case of study in sentiment analysis

[80] Sentiment analysis of tweets using refined neutrosophic sets

[81] A comparative study of machine translation for multilingual sentence-level sentiment analysis

[82] What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approach

[83] Systematic literature review of sentiment analysis on Twitter using soft computing techniques

[84] Once more, with feeling: using sentiment analysis to improve models of relationships between non-state actors

[85] Analyzing the Brazilian Financial Market through Portuguese Sentiment Analysis in Social Media

[86] Twitterbert: Framework for twitter sentiment analysis based on pre-trained language model representations

[87] Twitter sentiment analysis using hybrid Spider Monkey optimization method

[88] Does the NPS^® reflect consumer sentiment? A qualitative examination of the NPS using a sentiment analysis approach

[89] Exploiting objective text description of images for visual sentiment analysis

[90] Multi-way matching based fine-grained sentiment analysis for user reviews

[91] Sentiment analysis using deep learning approaches: an overview

[92] An Approach for Sentiment Analysis of GST Tweets Using Words Popularity Versus Polarity Generation

[93] Sentiment Analysis and Extractive Summarization Based Recommendation System

[94] Review-based sentiment prediction of rating using natural language processing sentence-level sentiment analysis with bag-of-words approach

[95] Sentiment analysis techniques for social media data: A review

[96] Sentiment analysis of tweets using supervised learning algorithms

[97] Predicting the stock market behavior using historic data analysis and news sentiment analysis in r

[98] Sentiment Analysis in Healthcare: A Brief Review

[99] The Role of Transliteration in the Process of Arabizi Translation/Sentiment Analysis

[100] Erratum to: Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques (Cogn Comput, 10.1007/s12559-016-9415-7)

[101] Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques