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Speech emotion recognition and text sentiment analysis for financial distress prediction
16 references·2 citing·44 second hopsampled
Speech emotion recognition and text sentiment analysis for financial distress prediction (2023)Speech emotion recognition and text senti…Two-stage consumer credit risk modelling using heterogeneous ensemble learning (2019)Two-stage consumer credit ris…Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Speech emotion recognition: E…Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting (2019)Class-imbalanced dynamic fina…The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English (2018)The Ryerson Audio-Visual Data…Deep learning models for bankruptcy prediction using textual disclosures (2018)Deep learning models for bank…Systematic review of bankruptcy prediction models: Towards a framework for tool selection (2017)Systematic review of bankrupt…Financial Distress Prediction in an International Context: A Review and Empirical Analysis of Altman's Z‐ Score Model (2016)Financial Distress Prediction…Dynamic financial distress prediction with concept drift based on time weighting combined with Adaboost support vector machine ensemble (2016)Dynamic financial distress pr…Earnings Management: An Analysis of Opportunistic Behaviour, Monitoring Mechanism and Financial Distress (2015)Earnings Management: An Analy…Do sophisticated investors interpret earnings conference call tone differently than investors at large? Evidence from short sales (2015)Do sophisticated investors in…Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches (2013)Predicting financial distress…The Power of Voice: Managerial Affective States and Future Firm Performance (2012)The Power of Voice: Manageria…When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks (2011)When Is a Liability Not a Lia…Earnings conference calls and stock returns: The incremental informativeness of textual tone (2011)Earnings conference calls and…Analyzing Speech to Detect Financial Misreporting (2011)Analyzing Speech to Detect Fi…Making words work: Using financial text as a predictor of financial events (2010)Making words work: Using fina…Corporate financial distress prediction using the risk-related information content of annual reports (2024)Corporate financial distress …A Systematic Literature Review of Modalities, Trends, and Limitations in Emotion Recognition, Affective Computing, and Sentiment Analysis (2024)A Systematic Literature Revie…Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Mining corporate annual reports for intelligent detection of financial statement fraud – A comparative study of machine learning methods (2017)Deep learning for financial applications : A survey (2020)A Theory of Cognitive Dissonance (1957)Common risk factors in the returns on stocks and bonds (1993)The Causal Impact of Media in Financial Markets (2011)Textual Analysis in Accounting and Finance: A Survey (2016)A Theory of Cognitive Dissonance (2017)Information: Hard and Soft (2018)Praat: Doing Phonetics by Computer (2011)MD&A Disclosure and the Firm's Ability to Continue as a Going Concern (2013)What Are You Saying? Using topic to Detect Financial Misreporting (2019)Risk, Return, and Equilibrium: Empirical Tests (1973)Disappearing dividends: changing firm characteristics or lower propensity to pay? (2001)In Search of Attention (2011)Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts (2013)Content Analysis: An Introduction to its Methodology. (1984)Information asymmetry, corporate disclosure, and the capital markets: A review of the empirical disclosure literature (2001)Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches (2008)Accounting narratives and the narrative turn in accounting research: Issues, theory, methodology, methods and a research framework (2014)Textual sentiment in finance: A survey of methods and models (2014)The Measurement of Observer Agreement for Categorical Data (1977)Intraclass correlations: Uses in assessing rater reliability. (1979)A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research (2016)Speech emotion recognition with deep convolutional neural networks (2020)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)Enhancements in Immediate Speech Emotion Detection: Harnessing Prosodic and Spectral Characteristics (2024)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)A Comprehensive Review of Speech Emotion Recognition Systems (2021)Deep Learning Techniques for Speech Emotion Recognition, from Databases to Models (2021)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Determinants and consequences of financial distress: review of the empirical literature (2018)Does corporate social responsibility reduce financial distress risk? (2020)Female directors, capital structure, and financial distress (2021)CatBoost model and artificial intelligence techniques for corporate failure prediction (2021)Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering (2022)Financial applications of machine learning: A literature review (2023)A hybrid stock price index forecasting model based on variational mode decomposition and LSTM network (2020)Adaptive stock trading strategies with deep reinforcement learning methods (2020)Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods (2021)
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References

  • 2011When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks6,003 cited
  • 2018The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English1,898 cited
  • 2016Financial Distress Prediction in an International Context: A Review and Empirical Analysis of Altman's Z‐ Score Model843 cited
  • 2019Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers725 cited
  • 2011Earnings conference calls and stock returns: The incremental informativeness of textual tone673 cited
  • 2012The Power of Voice: Managerial Affective States and Future Firm Performance627 cited
  • 2018Deep learning models for bankruptcy prediction using textual disclosures480 cited
  • 2013Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches394 cited
  • 2019Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting363 cited
  • 2011Analyzing Speech to Detect Financial Misreporting349 cited
  • 2017Systematic review of bankruptcy prediction models: Towards a framework for tool selection330 cited
  • 2010Making words work: Using financial text as a predictor of financial events249 cited
  • 2015Earnings Management: An Analysis of Opportunistic Behaviour, Monitoring Mechanism and Financial Distress

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222 cited
  • 2015Do sophisticated investors interpret earnings conference call tone differently than investors at large? Evidence from short sales188 cited
  • 2019Two-stage consumer credit risk modelling using heterogeneous ensemble learning182 cited
  • 2016Dynamic financial distress prediction with concept drift based on time weighting combined with Adaboost support vector machine ensemble173 cited
  • Cited by

    • 2024A Systematic Literature Review of Modalities, Trends, and Limitations in Emotion Recognition, Affective Computing, and Sentiment Analysis50 cited
    • 2024Corporate financial distress prediction using the risk-related information content of annual reports47 cited