Evaluating a Sentiment Analysis Tool to Detect Digital Transformation Stress

Author:

Makowska-Tlomak Ewa1,Nielek Radoslaw2,Skorupska Kinga2,Paluch Julia2,Kopec Wieslaw2

Affiliation:

1. SWPS University of Social Sciences and Humanities, Poland

2. Polish-Japanese Academy of Information Technology, Poland

Funder

National Science Centre of Poland

Publisher

ACM

Reference79 articles.

1. Piotr Adamczewski 2017. Adaptacje systemów ICT nowoczesnych organizacji w procesie transformacji cyfrowej. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu 475 475(2017) 11–22. Piotr Adamczewski 2017. Adaptacje systemów ICT nowoczesnych organizacji w procesie transformacji cyfrowej. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu 475 475(2017) 11–22.

2. Expanding the Job Demands-Resources Model to Classify Innovation-Predicting Working Conditions

3. New development: COVID-19 as an accelerator of digital transformation in public service delivery

4. Sentiment analysis using deep learning techniques: a review;Ain Qurat Tul;Int J Adv Comput Sci Appl,2017

5. Mehdi Allahyari Seyedamin Pouriyeh Mehdi Assefi Saied Safaei Elizabeth D. Trippe Juan B. Gutierrez and Krys Kochut. 2017. A Brief Survey of Text Mining: Classification Clustering and Extraction Techniques. arxiv:1707.02919 [cs.CL] Mehdi Allahyari Seyedamin Pouriyeh Mehdi Assefi Saied Safaei Elizabeth D. Trippe Juan B. Gutierrez and Krys Kochut. 2017. A Brief Survey of Text Mining: Classification Clustering and Extraction Techniques. arxiv:1707.02919 [cs.CL]

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