Methods to Analyze Survey Data: Step-By-Step Method# 1 Method# 2 FAQs About Survey Results Presentation Wrap UpWhat is the Survey Results Presentation?Definition: A Survey Results Presentation is a structured method of visually displaying and communicating the findings from a survey. It typically...
One of the methods to measure predictability is a data challenge, where several teams compete to predict a particular outcome using the same dataset and evaluation criteria. Data challenges have led to major progress in different disciplines [39,40,41], but rarely have been used in the social ...
An online public survey was conducted, gathering data from 1,834 participants (with 1,767 retained post-cleaning) over three months via social media and email. The survey consisted of 44 questions and was distributed anonymously to ensure privacy. Data were analyzed using statistical methods and ...
2. Data augmentation methods in NLP 3. Strategies and tricks 4. Applications on NLP tasks 5. Related topics 6. Challenges and opportunities 7. Conclusion Declaration of competing interest Acknowledgment Appendix A. Related Resources ReferencesShow full outline Cited by (178) Figures (26) Show 20...
Also, as AI models and data evolve over time, XAI systems need to adapt and evolve as well. Data management is another critical aspect for the long-term usability and maintainability of XAI systems. As data volumes increase and data distributions change, XAI methods should be able to handle ...
Following the simple random sampling (SRS) methods of the villager lists from the local health facilities, the potential study participants were contacted by trained researchers for data collection via face-to-face interviews using a structured and standardized questionnaire that included a set of ...
including automated data preprocessing –e.g., data cleaning, labeling, missing data imputation, and categorical data encoding – as well as data augmentation (including synthetic data generation using generative AI methods) and feature engineering – specifically, automated feature extraction, feature con...
This study sought to understand whether non-reporting by facilities is due to a lack of diagnostic and/or service provision capacity by triangulating routine and health service assessment survey data in Kenya. Methods Routine facility-level data on RDT administration were sourced from the Kenya ...
The COVID-19 pandemic has profoundly affected the well-being of people across all age groups, with children being particularly vulnerable due to their reli
In this paper we focus on knowledge extraction from large-scale wireless networks through stream processing. We present the primary methods for sampling, data collection, and monitoring of wireless networks and we characterize knowledge extraction as a m