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Publication search results
found 38 matches
- 2024
- Zwierd Grotenhuis, Pablo J. Mosteiro, Artuur M. Leeuwenberg:
Modest performance of text mining to extract health outcomes may be almost sufficient for high-quality prognostic model development. Comput. Biol. Medicine 170: 108014 (2024) - 2023
- Shuang (Sophie) Zhai, Zhu (Drew) Zhang:
Read the News, Not the Books: Forecasting Firms' Long-term Financial Performance via Deep Text Mining. ACM Trans. Manag. Inf. Syst. 14(1): 3:1-3:37 (2023) - Eri Uchida, Yasunobu Kino:
Study on the Relationship Between Corporate Culture and Corporate Performance in IT industry in Japan via Text Mining. KES 2023: 1834-1842 - 2022
- Keng Yang, Hanying Qi, Qian Huang:
The impact of task description linguistic style on task performance: a text mining of crowdsourcing contests. Ind. Manag. Data Syst. 122(1): 322-344 (2022) - Ruby Rani, D. K. Lobiyal:
Performance evaluation of text-mining models with Hindi stopwords lists. J. King Saud Univ. Comput. Inf. Sci. 34(6 Part A): 2771-2786 (2022) - Matthew Caron:
Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift. IEEE Big Data 2022: 3486-3495 - Eliseo Reategui, Marcio Bigolin, Michel Carniato, Rafael Antunes dos Santos:
Evaluating the Performance of SOBEK Text Mining Keyword Extraction Algorithm. CD-MAKE 2022: 233-243 - Shivangi Chopra, Lukasz Golab:
Gender Differences in Early Career Performance Reviews: a Text Mining Study. EDBT/ICDT Workshops 2022 - Mostafa Esmaeili, Daniel Zantedeschi:
Instant Messaging and Employee's Performance: A Text Mining Approach. ICIS 2022 - 2021
- Tanmay Basu, Georgios V. Gkoutos:
Exploring the Performance of Baseline Text Mining Frameworks for Early Prediction of Self Harm Over Social Media. CLEF (Working Notes) 2021: 928-937 - Olga Dunajeva, Avar Pentel, Natalja Maksimova:
COVID-19's Impact on the Quality of Educational Process and the Academic Performance as Viewed by IT Students: A Case Study in Text Mining. ICL (1) 2021: 417-425 - Eri Uchida, Yasunobu Kino:
Study on the Relationship Between Employee Satisfaction and Corporate Performance in Japan via Text Mining. KES 2021: 1730-1739 - 2020
- Davide Aloini, Elisabetta Benevento, Alessandro Stefanini, Pierluigi Zerbino:
Process fragmentation and port performance: Merging SNA and text mining. Int. J. Inf. Manag. 51: 101925 (2020) - Jie Zhao, Maria Alejandra Rodriguez, Rajkumar Buyya:
High-Performance Mining of COVID-19 Open Research Datasets for Text Classification and Insights in Cloud Computing Environments. UCC 2020: 302-309 - Jie Zhao, Maria Alejandra Rodriguez, Rajkumar Buyya:
High-Performance Mining of COVID-19 Open Research Datasets for Text Classification and Insights in Cloud Computing Environments. CoRR abs/2009.07399 (2020) - 2019
- Girish Keshav Palshikar, Manoj Apte, Sachin Pawar, Nitin Ramrakhiyani:
HiSPEED: a system for mining performance appraisal data and text. Int. J. Data Sci. Anal. 8(1): 95-111 (2019) - Jae-Won Hong, Seung-bae Park:
The Identification of Marketing Performance Using Text Mining of Airline Review Data. Mob. Inf. Syst. 2019: 1790429:1-1790429:8 (2019) - 2018
- S. Manochandar, M. Punniyamoorthy:
Scaling feature selection method for enhancing the classification performance of Support Vector Machines in text mining. Comput. Ind. Eng. 124: 139-156 (2018) - 2017
- Girish Keshav Palshikar, Manoj Apte, Sachin Pawar, Nitin Ramrakhiyani:
HiSPEED: A System for Mining Performance Appraisal Data and Text. DSAA 2017: 477-486 - Brittany M. Hollister, Nicole A. Restrepo, Eric Farber-Eger, Dana C. Crawford, Melinda C. Aldrich, Amy Non:
Development and Performance of Text-Mining Algorithms to Extract Socioeconomic Status from De-Identified Electronic Health Records. PSB 2017: 230-241 - 2016
- Shanshan Yu, Jindian Su, Pengfei Li, Hao Wang:
Towards High Performance Text Mining: A TextRank-based Method for Automatic Text Summarization. Int. J. Grid High Perform. Comput. 8(2): 58-75 (2016) - Ananthi Sheshasaayee, G. Thailambal:
Performance of Multiple String Matching Algorithms in Text Mining. FICTA (2) 2016: 671-681 - 2013
- Zelong Liu:
High performance latent dirichlet allocation for text mining. Brunel University London, UK, 2013 - Raphael Cohen, Michael Elhadad, Noemie Elhadad:
Redundancy in electronic health record corpora: analysis, impact on text mining performance and mitigation strategies. BMC Bioinform. 14: 10 (2013) - Sofie Van Landeghem, Suwisa Kaewphan, Filip Ginter, Yves Van de Peer:
Evaluating Large-scale Text Mining Applications Beyond the Traditional Numeric Performance Measures. BioNLP@ACL 2013: 63-71 - B. Vignani, Suresh Chandra Satapathy:
D-Pattern Evolving and Inner Pattern Evolving for High Performance Text Mining. FICTA 2013: 501-507 - 2012
- Volkan Tunali, Turgay Tugay Bilgin:
PRETO: a high-performance text mining tool for preprocessing Turkish texts. CompSysTech 2012: 134-140 - 2011
- Zelong Liu, Maozhen Li, Yang Liu, Mahesh Ponraj:
Performance evaluation of Latent Dirichlet Allocation in text mining. FSKD 2011: 2695-2698 - 2008
- Marta Mattoso, Nelson F. F. Ebecken, Gerson Zaverucha, Alexandre G. Evsukoff, Fernanda Baião, Myriam Costa, Guilherme Terra:
ClusterMiner: High Performance for Data, Text and Web Mining. Braz. J. Inf. Syst. 1(1) (2008) - J. Gregory Caporaso, Nita Deshpande, J. Lynn Fink, Philip E. Bourne, K. Bretonnel Cohen, Lawrence Hunter:
Intrinsic Evaluation of Text Mining Tools May Not Predict Performance on Realistic Tasks. Pacific Symposium on Biocomputing 2008: 640-651
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