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Detecting tension in online communities with computational Twitter analysis

Burnap, Pete; Rana, Omer F.; Avis, Nick; Williams, Matthew - In: Technological forecasting & social change : an … 95 (2015), pp. 96-108

Persistent link: https://www.econbiz.de/10011474555

Machine learning for marketing on the KNIME Hub : the development of a live repository for marketing applications

Ordenes, Francisco Villarroel; Silipo, Rosaria - In: Journal of business research : JBR 137 (2021), pp. 393-410

Persistent link: https://www.econbiz.de/10012665790

A model for sentiment and emotion analysis of unstructured social media text

Rout, Jitendra Kumar; Choo, Kim-Kwang Raymond; Dash, … - In: Electronic commerce research 18 (2018) 1, pp. 181-199

Persistent link: https://www.econbiz.de/10011813182

Analysing customers reactions on social media promotional campaigns : a text-mining approach

Saxena, Anant; Chaturvedi, K. R.; Rakesh, Sapna - In: Paradigm : the journal of Institute of Management Technology 22 (2018) 1, pp. 80-99

Persistent link: https://www.econbiz.de/10012161085

Mining netizen's opinion on cryptocurrency : sentiment analysis of Twitter data

Hassan, M. Kabir; Hudaefi, Fahmi Ali; Caraka, Rezzy Eko - In: Studies in economics and finance 39 (2022) 3, pp. 365-385

Persistent link: https://www.econbiz.de/10013355158

Enhancing the government accounting information systems using social media information : an application of text mining and machine learning

Duan, Huijue Kelly; Vasarhelyi, Miklos A.; Codesso, Mauricio - In: International journal of accounting information systems 48 (2023), pp. 1-19

Persistent link: https://www.econbiz.de/10014311554

Sentiment analysis on pandemic poems using TextBlob

Vijayakumar, Subhasri; Maheysh, V. - In: International journal of intelligent enterprise 10 (2023) 3, pp. 280-289

Persistent link: https://www.econbiz.de/10014320357

A modified Bayesian boosting algorithm with weight-guided optimal feature selection for sentiment analysis

Nayak, Smitha; Savita; Sharma, Yogesh Kumar - In: Decision analytics journal 8 (2023), pp. 1-13

Sentiment analysis is crucial in understanding and analyzing public opinions, feedback, and social media data. In this study, we propose a modified Bayesian Boosting algorithm with weight-guided optimal feature selection for sentiment analysis. The goal is to improve the accuracy and efficiency...

Persistent link: https://www.econbiz.de/10014517151

Big data and machine learning in central banking

Dörr, Sebastian; Gambacorta, Leonardo; Serena, José María - 2021

Persistent link: https://www.econbiz.de/10012483906

Machine learning methods in finance : recent applications and prospects

Hoang, Daniel; Wiegratz, Kevin - In: European financial management : the journal of the … 29 (2023) 5, pp. 1657-1701

Persistent link: https://www.econbiz.de/10014430234