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"Are you having a laugh?" : detecting humorous expressions on social media : an exploration of theory, current approaches and future work
Elayan, Suzanne; Sykora, Martin; Jackson, Thomas; … - In: International journal of information technology and … 21 (2022) 1, pp. 115-137
Persistent link: https://www.econbiz.de/10013256101
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Political opinion mining from Twitter
Sharma, Yashvardhan; Mittal, Ekansh; Garg, Mayank - In: International journal of information systems in the … 8 (2016) 4, pp. 47-56
Persistent link: https://www.econbiz.de/10011584142
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A review of recent advances in text mining of Indian languages
Panigrahi, Prabin Kumar; Bele, Nishikant - In: International journal of business information systems : … 23 (2016) 2, pp. 175-193
Persistent link: https://www.econbiz.de/10011636714
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French medical named entity recognition : a hybrid approach
Allaouzi, Imane; Ben Ahmed, Mohamed - In: International journal of intelligent enterprise : IJIE 6 (2019) 2/3/4, pp. 341-355
Persistent link: https://www.econbiz.de/10012138934
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Scoring dimension-level job performance from narrative comments : validity and generalizability when using natural language processing
Speer, Andrew B. - In: Organizational research methods : ORM 24 (2021) 3, pp. 572-594
Persistent link: https://www.econbiz.de/10012593161
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Gender classification of microblog text based on authorial style
Mukherjee, Shubhadeep; Bala, Pradip Kumar - In: Information systems and e-business management : ISeB 15 (2017) 1, pp. 117-138
Persistent link: https://www.econbiz.de/10011711678
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Uniting the tribes : using text for marketing insight
Berger, Jonah; Humphreys, Ashlee; Ludwig, Stephan; Moe, … - In: Journal of marketing 84 (2020) 1, pp. 1-25
Persistent link: https://www.econbiz.de/10012176296
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Creating data from unstructured text with Context Rule Assisted Machine Learning (CRAML)
Meisenbacher, Stephen; Norlander, Peter - 2022
Popular approaches to building data from unstructured text come with limitations, such as scalability, interpretability, replicability, and real-world applicability. These can be overcome with Context Rule Assisted Machine Learning (CRAML), a method and no-code suite of software tools that...
Persistent link: https://www.econbiz.de/10013470898
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More than a feeling : accuracy and application of sentiment analysis
Hartmann, Jochen; Heitmann, Mark; Siebert, Christian; … - In: International journal of research in marketing : IJRM ; … 40 (2023) 1, pp. 75-87
Persistent link: https://www.econbiz.de/10014281900
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Knowledge discovery from vernacular expressions : an application of social media and sentiment mining
Bele, Nishikant; Panigrahi, Prabin Kumar; Srivastava, … - In: International journal of knowledge management : IJKM ; … 14 (2018) 1, pp. 1-18
Persistent link: https://www.econbiz.de/10011865813