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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/asi.21662openalex-snapshot

Sentiment strength detection for the social web

inferredcites →https://doi.org/10.1002/asi.v61:12openalex-snapshot

inferredcites →https://doi.org/10.1007/978-1-4614-3223-4_13openalex-snapshot

A Survey of Opinion Mining and Sentiment Analysis

inferredcites →https://doi.org/10.1007/978-1-4899-7687-1_907openalex-snapshot

Sentiment Analysis and Opinion Mining

inferredcites →https://doi.org/10.1007/978-3-319-12511-4openalex-snapshot

Professional Search in the Modern World

inferredcites →https://doi.org/10.1007/978-3-319-12511-4_10openalex-snapshot

Opinion Retrieval: Searching for Opinions in Social Media

inferredcites →https://doi.org/10.1007/978-3-319-13817-6_12openalex-snapshot

Influence of Weak Labels for Emotion Recognition of Tweets

inferredcites →https://doi.org/10.1007/978-3-319-30671-1_34openalex-snapshot

Topic-Specific Stylistic Variations for Opinion Retrieval on Twitter

inferredcites →https://doi.org/10.1007/978-3-642-16184-1_1openalex-snapshot

Sentiment Knowledge Discovery in Twitter Streaming Data

inferredcites →https://doi.org/10.1007/978-3-642-20161-5_34openalex-snapshot

Comparing Twitter and Traditional Media Using Topic Models

inferredcites →https://doi.org/10.1007/978-3-642-25631-8_22openalex-snapshot

Emotion Tokens: Bridging the Gap among Multilingual Twitter Sentiment Analysis

inferredcites →https://doi.org/10.1007/978-3-642-35176-1_32openalex-snapshot

Semantic Sentiment Analysis of Twitter

inferredcites →https://doi.org/10.1007/978-3-642-36973-5_29openalex-snapshot

Subjectivity Annotation of the Microblog 2011 Realtime Adhoc Relevance Judgments

inferredcites →https://doi.org/10.1007/978-3-642-41154-0_2openalex-snapshot

Propagated Opinion Retrieval in Twitter

inferredcites →https://doi.org/10.1007/s10579-005-7880-9openalex-snapshot

Annotating Expressions of Opinions and Emotions in Language

inferredcites →https://doi.org/10.1007/s10579-012-9196-xopenalex-snapshot

A multidimensional approach for detecting irony in Twitter

inferredcites →https://doi.org/10.1007/s10618-011-0238-6openalex-snapshot

Survey on mining subjective data on the web

inferredcites →https://doi.org/10.1007/s11205-014-0646-2openalex-snapshot

Measuring Idiosyncratic Happiness Through the Analysis of Twitter: An Application to the Italian Case

inferredcites →https://doi.org/10.1007/s11280-013-0247-zopenalex-snapshot

Sentiment analysis on microblog utilizing appraisal theory

inferredcites →https://doi.org/10.1007/s11280-013-0268-7openalex-snapshot

An effective approach to tweets opinion retrieval

inferredcites →https://doi.org/10.1016/b978-0-12-558701-3.50001-6openalex-snapshot

EMOTION: Theory, Research, and Experience

inferredcites →https://doi.org/10.1016/j.dss.2013.09.004openalex-snapshot

TOM: Twitter opinion mining framework using hybrid classification scheme

inferredcites →https://doi.org/10.1016/j.dss.2014.07.003openalex-snapshot

Tweet sentiment analysis with classifier ensembles

inferredcites →https://doi.org/10.1016/j.eswa.2013.01.001openalex-snapshot

Ontology-based sentiment analysis of twitter posts

inferredcites →https://doi.org/10.1016/j.eswa.2013.05.057openalex-snapshot

Twitter brand sentiment analysis: A hybrid system using n-gram analysis and dynamic artificial neural network

inferredcites →https://doi.org/10.1016/j.ipm.2015.01.005openalex-snapshot

Contextual semantics for sentiment analysis of Twitter

inferredcites →https://doi.org/10.1016/j.jocs.2010.12.007openalex-snapshot

Twitter mood predicts the stock market

inferredcites →https://doi.org/10.1017/s1351324912000332openalex-snapshot

Sentiment analysis in Twitter

inferredcites →https://doi.org/10.1037//0096-3445.115.1.3openalex-snapshot

On the psycholinguistics of sarcasm.

inferredcites →https://doi.org/10.1080/02699939208411068openalex-snapshot

An argument for basic emotions

inferredcites →https://doi.org/10.1109/icdmw.2014.146openalex-snapshot

Semi-Supervised Method for Multi-category Emotion Recognition in Tweets

inferredcites →https://doi.org/10.1109/socialcom.2013.56openalex-snapshot

Twitter Sentiment Analysis: A Bootstrap Ensemble Framework

inferredcites →https://doi.org/10.1109/tpami.2013.50openalex-snapshot

Representation Learning: A Review and New Perspectives

inferredcites →https://doi.org/10.1109/vast.2011.6102472openalex-snapshot

Visual sentiment analysis on twitter data streams

inferredcites →https://doi.org/10.1109/wi-iat.2010.63openalex-snapshot

Predicting the Future with Social Media

inferredcites →https://doi.org/10.1145/1341531.1341561openalex-snapshot

A holistic lexicon-based approach to opinion mining

inferredcites →https://doi.org/10.1145/1631144.1631148openalex-snapshot

Tweet the debates

inferredcites →https://doi.org/10.1145/1871437.1871741openalex-snapshot

Classifying sentiment in microblogs

inferredcites →https://doi.org/10.1145/2020408.2020614openalex-snapshot

User-level sentiment analysis incorporating social networks

inferredcites →https://doi.org/10.1145/2063576.2063607openalex-snapshot

Searching microblogs

inferredcites →https://doi.org/10.1145/2063576.2063726openalex-snapshot

Topic sentiment analysis in twitter

inferredcites →https://doi.org/10.1145/2072609.2072614openalex-snapshot

Sentiment analysis of social media content using N-Gram graphs

inferredcites →https://doi.org/10.1145/2213836.2213958openalex-snapshot

Large-scale machine learning at twitter

inferredcites →https://doi.org/10.1145/2245276.2245364openalex-snapshot

Towards building large-scale distributed systems for twitter sentiment analysis

inferredcites →https://doi.org/10.1145/2396761.2398481openalex-snapshot

If you are happy and you know it... tweet

inferredcites →https://doi.org/10.1145/2433396.2433465openalex-snapshot

Exploiting social relations for sentiment analysis in microblogging

inferredcites →https://doi.org/10.1145/2488388.2488442openalex-snapshot

Unsupervised sentiment analysis with emotional signals

inferredcites →https://doi.org/10.1145/2502069.2502071openalex-snapshot

Combining strengths, emotions and polarities for boosting Twitter sentiment analysis

inferredcites →https://doi.org/10.1145/2539150.2539190openalex-snapshot

Automatic Domain-Specific Sentiment Lexicon Generation with Label Propagation

inferredcites →https://doi.org/10.1145/2808797.2809327openalex-snapshot

Tweet Sentiment

inferredcites →https://doi.org/10.1145/2851613.2851818openalex-snapshot

Opinion retrieval in Twitter

inferredcites →https://doi.org/10.1162/coli_a_00049openalex-snapshot

Lexicon-Based Methods for Sentiment Analysis

inferredcites →https://doi.org/10.1184/r1/6473408openalex-snapshot

Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters

inferredcites →https://doi.org/10.13140/2.1.3523.8088openalex-snapshot

Automatic Stopword Generation using Contextual Semantics for Sentiment Analysis of Twitter

inferredcites →https://doi.org/10.13140/2.1.4108.0004openalex-snapshot

teragram: Rule-based detection of sentiment phrases using SAS Sentiment Analysis

inferredcites →https://doi.org/10.1371/journal.pone.0064417openalex-snapshot

The Geography of Happiness: Connecting Twitter Sentiment and Expression, Demographics, and Objective Characteristics of Place

inferredcites →https://doi.org/10.1561/1500000011openalex-snapshot

Opinion Mining and Sentiment Analysis

inferredcites →https://doi.org/10.1609/aaai.v26i1.8353openalex-snapshot

Emoticon Smoothed Language Models for Twitter Sentiment Analysis

inferredcites →https://doi.org/10.1609/icwsm.v4i1.14031openalex-snapshot

From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series

inferredcites →https://doi.org/10.1609/icwsm.v5i1.14171openalex-snapshot

Modeling Public Mood and Emotion: Twitter Sentiment and Socio-Economic Phenomena

inferredcites →https://doi.org/10.1609/icwsm.v5i1.14185openalex-snapshot

Twitter Sentiment Analysis: The Good the Bad and the OMG!

inferredcites →https://doi.org/10.1609/icwsm.v5i4.14085openalex-snapshot

How Bad Do You Spell?: The Lexical Quality of Social Media

inferredcites →https://doi.org/10.1613/jair.4272openalex-snapshot

Sentiment Analysis of Short Informal Texts

inferredcites →https://doi.org/10.18653/v1/s15-2078openalex-snapshot

SemEval-2015 Task 10: Sentiment Analysis in Twitter

inferredcites →https://doi.org/10.18653/v1/s16-1001openalex-snapshot

SemEval-2016 Task 4: Sentiment Analysis in Twitter

inferredcites →https://doi.org/10.2200/s00416ed1v01y201204hlt016openalex-snapshot

Sentiment Analysis and Opinion Mining

inferredcites →https://doi.org/10.2307/1422757openalex-snapshot

Emotion: Theory, Research, and Experience. Vol. 1. Theories of Emotion

inferredcites →https://doi.org/10.3115/1073083.1073153openalex-snapshot

Thumbs up or thumbs down?

inferredcites →https://doi.org/10.3115/1118693.1118704openalex-snapshot

Thumbs up?

inferredcites →https://doi.org/10.3115/1218955openalex-snapshot

Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics - ACL '04

inferredcites →https://doi.org/10.3115/1220355.1220555openalex-snapshot

Determining the sentiment of opinions

inferredcites →https://doi.org/10.3115/1220575.1220619openalex-snapshot

Recognizing contextual polarity in phrase-level sentiment analysis

inferredcites →https://doi.org/10.3115/1613715openalex-snapshot

Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08

inferredcites →https://doi.org/10.3115/v1/d14-1080openalex-snapshot

Opinion Mining with Deep Recurrent Neural Networks

inferredcites →https://doi.org/10.3115/v1/p14-2009openalex-snapshot

Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification

inferredcites →https://doi.org/10.3115/v1/p15-1098openalex-snapshot

Learning Semantic Representations of Users and Products for Document Level Sentiment Classification

inferredcites →https://doi.org/10.3115/v1/s14-2009openalex-snapshot

SemEval-2014 Task 9: Sentiment Analysis in Twitter

inferredcites →https://doi.org/10.3115/v1/s14-2033openalex-snapshot

Coooolll: A Deep Learning System for Twitter Sentiment Classification

inferredcites →https://doi.org/10.4236/jcc.2014.23002openalex-snapshot

Twitter Sentiment in Data Streams with Perceptron

inferredcites →https://doi.org/10.4236/jdaip.2013.13004openalex-snapshot

Mutually Enhancing Community Detection and Sentiment Analysis on Twitter Networks

inferredcites →https://doi.org/10.5121/acij.2012.3505openalex-snapshot

Generating domain specific sentiment lexicons using the Web Directory

inferredcites →https://doi.org/10.56726/irjmets46500openalex-snapshot

Sentiment Analysis in Twitter

inferredcites →https://doi.org/10.63317/2ios4bdd5xasopenalex-snapshot

Who cares about Sarcastic Tweets? Investigating the Impact of Sarcasm on Sentiment Analysis.

inferredcites →https://doi.org/10.63317/2jktnrykui9sopenalex-snapshot

SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining

inferredcites →https://doi.org/10.63317/3uepwmfe264aopenalex-snapshot

On Stopwords, Filtering and Data Sparsity for Sentiment Analysis of Twitter

inferredcites →https://doi.org/10.63317/47akcj8foo4dopenalex-snapshot

Twitter as a Corpus for Sentiment Analysis and Opinion Mining

inferredcites →https://doi.org/10.63317/4pfkwmqsf6nfopenalex-snapshot

EmpaTweet: Annotating and Detecting Emotions on Twitter

inferredcites →https://doi.org/10.63317/54vo5wjya4cwopenalex-snapshot

SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining

inferredcites →https://doi.org/10.63317/5j4gfhonpq9nopenalex-snapshot

Modelling Irony in Twitter: Feature Analysis and Evaluation

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Construction of a Pysentimiento Labeled Dataset for the Assessment Of Non-Specialized Supervised Learning Models for Sentiment Analysis

inferred← citeshttps://doi.org/10.2139/ssrn.4676404openalex-extracted

Deep Representation Learning of User Preferences for Opinionclassification

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Public Emotions and Climate Change Awareness: Understanding Shifting Perceptions for Sustainable Futures

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Early Commenting Features for Emotional Reactions Prediction

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Feature Selection Using Sampling with Replacement, Covering Arrays and Rule-Induction Techniques to Aid Polarity Detection in Twitter Sentiment Analysis

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Effectiveness of Social Media Sentiment Analysis Tools with the Support of Emoticon/Emoji

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TwitterBERT: Framework for Twitter Sentiment Analysis Based on Pre-trained Language Model Representations

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Different Approaches in Sarcasm Detection: A Survey

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Self-understanding Support Tool Using Twitter Sentiment Analysis

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Combining Quality of Service and Quality of Experience to Visualize and Analyze City Services

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COVID-19 Vaccination Opinions in Education-Related Tweets

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Data-Driven Prediction of Athletes’ Performance Based on Their Social Media Presence

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Mining Twitter Multi-word Product Opinions with Most Frequent Sequences of Aspect Terms

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Emotion Analysis of Social Media Content for Mental Health Improvement

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Customer Review Classification Using Machine Learning and Deep Learning Techniques

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Deep Learning-Based Sentiment Analysis of Customer Reviews on Hotels Through Tweets

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Sentiment Analysis of Indians on GST

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inferred← citeshttps://doi.org/10.1007/978-981-96-3381-4_45openalex-snapshot

Topic-Based Twitter Sentiment Analysis Using TextBlob and VADER

inferred← citeshttps://doi.org/10.1007/978-981-96-6063-6_20openalex-snapshot

Comparative Analysis of Machine Learning Models for Twitter Sentiment Analysis: A Recommendation of an Inventive Approach

inferred← citeshttps://doi.org/10.1007/978-981-97-1326-4_4openalex-snapshot

Racist and Abusive Memes Classification Using Deep Learning Techniques

inferred← citeshttps://doi.org/10.1007/978-981-97-3526-6_49openalex-snapshot

Literature Review on N-Gram Text Classification Models for Hotel Reviews Sentiment Analysis

inferred← citeshttps://doi.org/10.1007/978-981-97-7532-3_11openalex-snapshot

Combating Digital Deception: A Survey on Early Misinformation Detection on Social Media

inferred← citeshttps://doi.org/10.1007/978-981-99-1770-9_5openalex-snapshot

Agent-Based Interpretation of the Zaller Model

inferred← citeshttps://doi.org/10.1007/978-981-99-3878-0_21openalex-snapshot

Exploring the Effectiveness of Sentiment Analysis Techniques and Aspect-Based Sentiment Analysis on Twitter Data for Analyzing Public Opinion on National Education Policy in India

inferred← citeshttps://doi.org/10.1007/978-981-99-4484-2_20openalex-snapshot

Mitigating Emotional Harm on Social Media: A Filtering Approach Using Synesketch and Euclidean Distance

inferred← citeshttps://doi.org/10.1007/s00521-025-11194-6openalex-snapshot

Enhanced sentiment classification of phone brands on Twitter with a modified walrus optimizer and novel ensemble method

inferred← citeshttps://doi.org/10.1007/s00778-019-00569-6openalex-snapshot

Microblogs data management: a survey

inferred← citeshttps://doi.org/10.1007/s10115-018-1236-4openalex-snapshot

A survey of sentiment analysis in social media

inferred← citeshttps://doi.org/10.1007/s10115-020-01497-6openalex-snapshot

Sentiment lexicons and non-English languages: a survey

inferred← citeshttps://doi.org/10.1007/s10115-024-02075-wopenalex-snapshot

Trends and challenges in sentiment summarization: a systematic review of aspect extraction techniques

inferred← citeshttps://doi.org/10.1007/s10115-024-02200-9openalex-snapshot

Aspect-based sentiment analysis: approaches, applications, challenges and trends

inferred← citeshttps://doi.org/10.1007/s10207-024-00868-2openalex-snapshot

A systematic review on research utilising artificial intelligence for open source intelligence (OSINT) applications

inferred← citeshttps://doi.org/10.1007/s10462-019-09794-5openalex-snapshot

Sentiment analysis using deep learning architectures: a review

inferred← citeshttps://doi.org/10.1007/s10462-020-09828-3openalex-snapshot

Empirical evaluation and study of text stemming algorithms

inferred← citeshttps://doi.org/10.1007/s10462-023-10472-wopenalex-snapshot

A systematic review of social network sentiment analysis with comparative study of ensemble-based techniques

inferred← citeshttps://doi.org/10.1007/s10489-022-03567-4openalex-snapshot

TERMS: textual emotion recognition in multidimensional space

inferred← citeshttps://doi.org/10.1007/s10579-023-09644-5openalex-snapshot

FinnSentiment: a Finnish social media corpus for sentiment polarity annotation

inferred← citeshttps://doi.org/10.1007/s10614-024-10588-3openalex-snapshot

Bitcoin Price Prediction Using Sentiment Analysis and Empirical Mode Decomposition

inferred← citeshttps://doi.org/10.1007/s10639-023-11582-2openalex-snapshot

Post-pandemic pedagogy: Emergency remote teaching impact on students with functional diversity

inferred← citeshttps://doi.org/10.1007/s10723-019-09482-2openalex-snapshot

What’s Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter

inferred← citeshttps://doi.org/10.1007/s10796-021-10152-6openalex-snapshot

Applying and Understanding an Advanced, Novel Deep Learning Approach: A Covid 19, Text Based, Emotions Analysis Study

inferred← citeshttps://doi.org/10.1007/s10796-021-10169-xopenalex-snapshot

A Bilingual Comparison of Sentiment and Topics for a Product Event on Twitter

inferred← citeshttps://doi.org/10.1007/s10796-024-10542-6openalex-snapshot

Navigating in Turbulent Times: Using Social Media to Examine Small and family-Owned Business Topics and Sentiments during the COVID-19 Crisis

inferred← citeshttps://doi.org/10.1007/s10844-020-00616-7openalex-snapshot

Empirical study of sentiment analysis tools and techniques on societal topics

inferred← citeshttps://doi.org/10.1007/s11042-018-6445-zopenalex-snapshot

A survey on sentiment analysis and opinion mining for social multimedia

inferred← citeshttps://doi.org/10.1007/s11042-024-20528-wopenalex-snapshot

A comprehensive analysis of forecasting elections using social media text

inferred← citeshttps://doi.org/10.1007/s11042-026-21293-8openalex-snapshot

A review of efficient approaches for sentiment analysis and opinion mining

inferred← citeshttps://doi.org/10.1007/s11192-022-04502-7openalex-snapshot

A longitudinal study of the evolution of opinions about open access and its main features: a twitter sentiment analysis

inferred← citeshttps://doi.org/10.1007/s11227-019-02755-3openalex-snapshot

An automatic non-English sentiment lexicon builder using unannotated corpus

inferred← citeshttps://doi.org/10.1007/s11227-020-03222-0openalex-snapshot

An integrated semi-automated framework for domain-based polarity words extraction from an unannotated non-English corpus

inferred← citeshttps://doi.org/10.1007/s11227-020-03412-wopenalex-snapshot

A semi-supervised approach in detecting sentiment and emotion based on digital payment reviews

inferred← citeshttps://doi.org/10.1007/s12351-022-00714-0openalex-snapshot

Unsupervised consumer intention and sentiment mining from microblogging data as a business intelligence tool

inferred← citeshttps://doi.org/10.1007/s12559-022-10025-3openalex-snapshot

Text Analysis of Evolving Emotions and Sentiments in COVID-19 Twitter Communication

inferred← citeshttps://doi.org/10.1007/s12652-020-02423-yopenalex-snapshot

The emergence of social media data and sentiment analysis in election prediction

inferred← citeshttps://doi.org/10.1007/s12652-020-02789-zopenalex-snapshot

A survey on predictions of cyber-attacks utilizing real-time twitter tracing recognition

inferred← citeshttps://doi.org/10.1007/s13278-020-00667-2openalex-snapshot

The impact of political party/candidate on the election results from a sentiment analysis perspective using #AnambraDecides2017 tweets

inferred← citeshttps://doi.org/10.1007/s13278-021-00756-wopenalex-snapshot

Studying leaders & their concerns using online social media during the times of crisis - A COVID case study

inferred← citeshttps://doi.org/10.1007/s13278-024-01297-8openalex-snapshot

Decoding the black box: LIME-assisted understanding of Convolutional Neural Network (CNN) in classification of social media tweets

inferred← citeshttps://doi.org/10.1007/s13278-024-01353-3openalex-snapshot

Analyzing World Cup Impact Through an Evolutionary Optimization Approach Based on Sentiment Polarity with Pre-trained Word Embeddings

inferred← citeshttps://doi.org/10.1007/s40797-022-00217-zopenalex-snapshot

The Impact of the Social Mood on the Italian Sovereign Debt Market: A Twitter Perspective

inferred← citeshttps://doi.org/10.1007/s42001-024-00326-yopenalex-snapshot

A comprehensive review of visual–textual sentiment analysis from social media networks

inferred← citeshttps://doi.org/10.1007/s42001-025-00431-6openalex-snapshot

Analyzing public sentiment in Iranian presidential elections on Twitter using large language models

inferred← citeshttps://doi.org/10.1007/s42421-024-00114-0openalex-snapshot

Estimating Telecommuting Rates in the USA Using Twitter Sentiment Analysis

inferred← citeshttps://doi.org/10.1007/s42973-026-00236-wopenalex-snapshot

How did people tweet against inflation in Japan?

inferred← citeshttps://doi.org/10.1007/s42979-023-01886-yopenalex-snapshot

A Comparison of Commercial Sentiment Analysis Services

inferred← citeshttps://doi.org/10.1016/b978-0-08-102089-0.00006-6openalex-snapshot

Application of Social Media for Consumer Research

inferred← citeshttps://doi.org/10.1016/j.chb.2015.08.024openalex-snapshot

Factors influencing the consumer adoption of Facebook: A two-country study of youth markets

inferred← citeshttps://doi.org/10.1016/j.chb.2019.02.004openalex-snapshot

Decoding the sentiment dynamics of online retailing customers: Time series analysis of social media

inferred← citeshttps://doi.org/10.1016/j.cogsys.2018.10.001openalex-snapshot

Twitter sentiment analysis with a deep neural network: An enhanced approach using user behavioral information

inferred← citeshttps://doi.org/10.1016/j.dajour.2024.100473openalex-snapshot

A hybrid machine learning model for sentiment analysis and satisfaction assessment with Turkish universities using Twitter data

inferred← citeshttps://doi.org/10.1016/j.elerap.2015.04.002openalex-snapshot

Using a consumer socialization framework to understand electronic word-of-mouth (eWOM) group membership among brand followers on Twitter

inferred← citeshttps://doi.org/10.1016/j.erss.2023.103264openalex-snapshot

Advancing recognition justice in telecoupled critical mineral supply chains: The promise of social media

inferred← citeshttps://doi.org/10.1016/j.eswa.2018.09.009openalex-snapshot

Monitoring the public opinion about the vaccination topic from tweets analysis

inferred← citeshttps://doi.org/10.1016/j.eswa.2018.10.003openalex-snapshot

Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review

inferred← citeshttps://doi.org/10.1016/j.eswa.2019.05.052openalex-snapshot

Unsupervised collective-based framework for dynamic retraining of supervised real-time spam tweets detection model

inferred← citeshttps://doi.org/10.1016/j.eswa.2019.112834openalex-snapshot

Fuzzy rule based unsupervised sentiment analysis from social media posts

inferred← citeshttps://doi.org/10.1016/j.eswa.2020.114006openalex-snapshot

A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks

inferred← citeshttps://doi.org/10.1016/j.eswa.2021.115771openalex-snapshot

Analysis of sentiment in tweets addressed to a single domain-specific Twitter account: Comparison of model performance and explainability of predictions

inferred← citeshttps://doi.org/10.1016/j.eswa.2022.117541openalex-snapshot

The climate change Twitter dataset

inferred← citeshttps://doi.org/10.1016/j.eswa.2022.117881openalex-snapshot

Evolving Gaussian on-line clustering in social network analysis

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120577openalex-snapshot

Sentiment analysis of COVID-19 cases in Greece using Twitter data

inferred← citeshttps://doi.org/10.1016/j.ijinfomgt.2017.11.001openalex-snapshot

Social media analytics: Extracting and visualizing Hilton hotel ratings and reviews from TripAdvisor

inferred← citeshttps://doi.org/10.1016/j.ijinfomgt.2019.102048openalex-snapshot

Big data analytics and international negotiations: Sentiment analysis of Brexit negotiating outcomes

inferred← citeshttps://doi.org/10.1016/j.intfin.2020.101188openalex-snapshot

The predictive power of public Twitter sentiment for forecasting cryptocurrency prices

inferred← citeshttps://doi.org/10.1016/j.ipm.2018.05.008openalex-snapshot

Tracking and recognizing emotions in short text messages from online chatting services

inferred← citeshttps://doi.org/10.1016/j.ipm.2018.07.006openalex-snapshot

A comprehensive survey of arabic sentiment analysis

inferred← citeshttps://doi.org/10.1016/j.ipm.2019.102055openalex-snapshot

The evolution of argumentation mining: From models to social media and emerging tools

inferred← citeshttps://doi.org/10.1016/j.ipm.2019.102079openalex-snapshot

Propagating sentiment signals for estimating reputation polarity

inferred← citeshttps://doi.org/10.1016/j.ipm.2019.102172openalex-snapshot

Revealing the political affinity of online entities through their Twitter followers

inferred← citeshttps://doi.org/10.1016/j.ipm.2021.102795openalex-snapshot

News-based business sentiment and its properties as an economic index

inferred← citeshttps://doi.org/10.1016/j.jad.2025.04.097openalex-snapshot

Exploring mental health literacy on twitter: A machine learning approach

inferred← citeshttps://doi.org/10.1016/j.jbi.2018.06.010openalex-snapshot

Persuasive technology to support active and healthy ageing: An exploration of past, present, and future

inferred← citeshttps://doi.org/10.1016/j.jbusres.2024.114746openalex-snapshot

Less is more: Engagement with the content of social media influencers

inferred← citeshttps://doi.org/10.1016/j.jeconc.2023.100023openalex-snapshot

The tinder swindler: Analyzing public sentiments of romance fraud using machine learning and artificial intelligence

inferred← citeshttps://doi.org/10.1016/j.jksuci.2020.10.023openalex-snapshot

Improving Sentiment Analysis of Arabic Tweets by One-way ANOVA

inferred← citeshttps://doi.org/10.1016/j.jsis.2018.12.001openalex-snapshot

Enterprise reputation threats on social media: A case of data breach framing

inferred← citeshttps://doi.org/10.1016/j.knosys.2018.12.017openalex-snapshot

Unsupervised word-level affect analysis and propagation in a lexical knowledge graph

inferred← citeshttps://doi.org/10.1016/j.knosys.2019.06.033openalex-snapshot

Deep learning models and datasets for aspect term sentiment classification: Implementing holistic recurrent attention on target-dependent memories

inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107389openalex-snapshot

Exploiting textual and relationship information for fine-grained financial sentiment analysis

inferred← citeshttps://doi.org/10.1016/j.micpro.2020.103125openalex-snapshot

RETRACTED: Enhancing the security using SRB18 method of Embedding Computing

inferred← citeshttps://doi.org/10.1016/j.neucom.2023.02.015openalex-snapshot

Machine learning and deep learning for sentiment analysis across languages: A survey

inferred← citeshttps://doi.org/10.1016/j.puhe.2022.12.003openalex-snapshot

Evolution of social mood in Spain throughout the COVID-19 vaccination process: a machine learning approach to tweets analysis

inferred← citeshttps://doi.org/10.1016/j.qref.2021.08.003openalex-snapshot

Do news sentiment and the economic uncertainty caused by public health events impact macroeconomic indicators? Evidence from a TVP-VAR decomposition approach

inferred← citeshttps://doi.org/10.1016/j.ssci.2021.105411openalex-snapshot

Construction safety knowledge sharing on Twitter: A social network analysis

inferred← citeshttps://doi.org/10.1017/atsip.2021.5openalex-snapshot

Analyzing public opinion on COVID-19 through different perspectives and stages

inferred← citeshttps://doi.org/10.1038/s41598-018-31346-0openalex-snapshot

Mechanistic modelling of viral spreading on empirical social network and popularity prediction

inferred← citeshttps://doi.org/10.1038/s41598-023-40607-6openalex-snapshot

A pre-protective objective in mining females social contents for identification of early signs of depression using soft computing deep framework

inferred← citeshttps://doi.org/10.1057/s41284-022-00335-4openalex-snapshot

A survey of extremism online content analysis and prediction techniques in twitter based on sentiment analysis

inferred← citeshttps://doi.org/10.1063/5.0217063openalex-snapshot

Detection of offensive text in memes using deep learning techniques

inferred← citeshttps://doi.org/10.1063/5.0247436openalex-snapshot

An ensemble learning for sentiment analysis on Twitter

inferred← citeshttps://doi.org/10.1063/5.0295604openalex-snapshot

AI-driven sentiment analysis a robust system for classifying reviews data

inferred← citeshttps://doi.org/10.1080/0022250x.2025.2481367openalex-snapshot

Hearts for hazards: A framework for understanding relationships between message interactions, with application to hazard communications

inferred← citeshttps://doi.org/10.1080/01621459.2021.1909599openalex-snapshot

Generalized Bayes Quantification Learning under Dataset Shift

inferred← citeshttps://doi.org/10.1080/02508281.2025.2611764openalex-snapshot

Understanding cross-cultural destination perceptions through key attraction factors: a dynamic analysis of Chinese tourist experiences in Thailand

inferred← citeshttps://doi.org/10.1080/02522667.2019.1582873openalex-snapshot

Sentiment classification of twitter data belonging to renewable energy using machine learning

inferred← citeshttps://doi.org/10.1080/10376178.2022.2147850openalex-snapshot

Public perceptions on Twitter of nurses during the COVID-19 pandemic

inferred← citeshttps://doi.org/10.1080/10447318.2024.2392964openalex-snapshot

From Optimism to Concern: Unveiling Sentiments and Perceptions Surrounding ChatGPT on Twitter

inferred← citeshttps://doi.org/10.1080/1206212x.2018.1482395openalex-snapshot

Emotions extraction from Arabic tweets

inferred← citeshttps://doi.org/10.1080/15252019.2020.1840460openalex-snapshot

An Examination of a Campaign Hashtag (#OptOutside) with Google Trends and Twitter

inferred← citeshttps://doi.org/10.1080/17467586.2018.1470660openalex-snapshot

Changes and stabilities in the language of Islamic state magazines: a sentiment analysis

inferred← citeshttps://doi.org/10.1080/17539153.2018.1447226openalex-snapshot

The mediums and the messages: exploring the language of Islamic State media through sentiment analysis

inferred← citeshttps://doi.org/10.1080/21645515.2020.1714311openalex-snapshot

Twitter as a sentinel tool to monitor public opinion on vaccination: an opinion mining analysis from September 2016 to August 2017 in Italy

inferred← citeshttps://doi.org/10.1080/21645515.2021.1877597openalex-snapshot

Influenza and Measles-MMR: two case study of the trend and impact of vaccine-related Twitter posts in Spanish during 2015-2018

inferred← citeshttps://doi.org/10.1080/24751839.2023.2262067openalex-snapshot

January 6th on Twitter: measuring social media attitudes towards the Capitol riot through unhealthy online conversation and sentiment analysis

inferred← citeshttps://doi.org/10.1088/1757-899x/1022/1/012114openalex-snapshot

Twitter Sentiment Analysis Using Deep Learning

inferred← citeshttps://doi.org/10.1108/978-1-78714-501-620171019openalex-snapshot

University–Industry Interface: Open and Dynamic Business Models to Reduce Spin-Offs’ Risk of Failure

inferred← citeshttps://doi.org/10.1108/bfj-04-2023-0338openalex-snapshot

Who is responsible for fixing the food system? A framing analysis of media reactions to the UK's National Food Strategy

inferred← citeshttps://doi.org/10.1108/gkmc-03-2023-0106openalex-snapshot

Analyzing the online public sentiments related to Russia-Ukraine war over Twitter

inferred← citeshttps://doi.org/10.1108/idd-02-2024-0018openalex-snapshot

Sentiment analysis and topic modelling on diamond jubilee celebration of independence by citizens of a nation: a case study of India

inferred← citeshttps://doi.org/10.1108/ijsms-03-2019-0026openalex-snapshot

Exploring user sentiment towards sponsorship and ambush marketing

inferred← citeshttps://doi.org/10.1108/imds-12-2017-0582openalex-snapshot

Multi-class Twitter sentiment classification with emojis

inferred← citeshttps://doi.org/10.1108/jsit-06-2017-0040openalex-snapshot

Towards the creation of an emotion lexicon for microblogging

inferred← citeshttps://doi.org/10.1108/oir-10-2018-0295openalex-snapshot

An enhanced lexicon-based approach for sentiment analysis: a case study on illegal immigration

inferred← citeshttps://doi.org/10.1109/21cw48944.2021.9532567openalex-snapshot

Big Data and WebGIS for Formulating Health Care Policy in India

inferred← citeshttps://doi.org/10.1109/access.2018.2851311openalex-snapshot

Sentiment Analysis of Big Data: Methods, Applications, and Open Challenges

inferred← citeshttps://doi.org/10.1109/access.2018.2885117openalex-snapshot

Sentiment Identification in Football-Specific Tweets

inferred← citeshttps://doi.org/10.1109/access.2019.2897910openalex-snapshot

Building a TIN-LDA Model for Mining Microblog Users’ Interest

inferred← citeshttps://doi.org/10.1109/access.2020.2983656openalex-snapshot

Twitter and Research: A Systematic Literature Review Through Text Mining

inferred← citeshttps://doi.org/10.1109/access.2020.2997330openalex-snapshot

Light Gradient Boosting Machine for General Sentiment Classification on Short Texts: A Comparative Evaluation

inferred← citeshttps://doi.org/10.1109/access.2020.3027350openalex-snapshot

Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning on COVID-19 Related Tweets

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