Web Survey Bibliography
This paper describes an automatic topic extraction, categorization, and relevance ranking model for multi-lingual surveys and questions that exploits machine learning algorithms such as topic modeling and fuzzy clustering. Automatically generated question and survey categories are used to build question banks and category-specific survey templates. First, we describe different pre-processing steps we considered for removing noise in the multilingual survey text. Second, we explain our strategy to automatically extract survey categories from surveys based on topic models. Third, we describe different methods to cluster questions under survey categories and group them based on relevance. Last, we describe our experimental results on a large group of unique, real-world survey datasets from the German, Spanish, French, and Portuguese languages and our refining methods to determine meaningful and sensible categories for building question banks. We conclude this document with possible enhancements to the current system and impacts in the business domain.
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Web survey bibliography (4086)
- Approaches to empiric ablation of slow pathway: results from the Canadian EP web survey; 2012; Laish-Farkash, A., Shurrab, M., Tiong, I., Verma, A., Amit, G., Kiss, A., Morriello, F., Singh, S.,...
- Statistical Disclosure Control; 2012; Hundepool, A., Domingo-Ferrer, J., Franconi, L., Giessing, S., Schulte Nordholt, E., Spicer, K., de...
- Methodology of the RAND Continuous 2012 Presidential Election Poll ; 2012; Kapteyn, A., Meijer, E., Weerman, B.
- How and when social media storms impact brands; 2012; Morris, A., Perry, H.
- (Online) Access Panels: Types and Quality Standards; 2012; Bosnjak, M.
- Biting the Hand and Bending the Rules: An IJMR Presentation; 2012; Pettit, A.
- Passive measurement of online data in Practice - A White Paper Wakoopa; 2012
- Using response probabilities for assessing representativity; 2012; Bethlehem, J.
- Analysis of Web Survey Data based on Similarity of Fuzzy Clusters; 2012; Chiba, R., Sato-Ilic, M.
- Disentangling Mode-Specific Selection and Measurement Bias in Social Surveys; 2012; Buelens, B., van der Laan, J., Schouten, B., Klausch, L. T., van der Brakel, J., Burger, J.
- The efficiency and effectiveness of mixed mode versus single mode designs; 2012; Blunsdon, B.
- The National Survey of College Graduates: Developing a Web Data Collection Component; 2012; Thornton, T.
- Automated Web Testing Using Selenium; 2012; Gaston, D., Fanning, S., Daher, L.
- Mixed Mode: Phone and Web Discussion on Efficient Strategies; 2012; Gagnon, M.
- The Measurement of Consistency in Online Research; 2012; Gittelman, S. H., Trimarchi, E.
- Thinking Differently About How to Select Respondents for Surveys; 2012; Terhanian, G., Bremer, J.
- Benefits of Modular Design for Mobile and Online Surveys; 2012; Kelly, F., Johnson, A., Stevens, S.
- Emerging Techniques of Respondent Engagement: Leveraging Game and Social Mechanics for Mobile Application...; 2012; Lai, J. W., Vanno, L.
- An Introduction to Using Video for Research; 2012; Jewitt, C.
- A Machine Learning Based Topic Exploration and Categorization on Surveys; 2012
- Survey Swipe; 2012; Macer, T.
- A Framework for the Collection of Universal Client Side Paradata (UCSP); 2012; Kaczmirek, L.
- Improving ability measurement in surveys by following the principles of IRT: The Wordsum vocabulary...; 2012; Cor, K., Haertel, E., Krosnick, J. A., Malhotra, N.
- Online Surveys Aren't Just for Computers Anymore! Exploring Potential Mode Effects between Smartphone...; 2012; Buskirk, T. D., Andrus, C.
- Why do survey participants choose to report by Web, paper, or not at all? Results from an American Community...; 2012; Nichols, E. M.
- Worldwide online research spending; 2012
- Using paradata to explore item-level response times in surveys; 2012; Couper, M. P., Kreuter, F.
- Using multivariate statistics, 6th Edition; 2012; Tabachnick, B. G., Fidell, L. S.
- Unintentional mobile respondents; 2012; Peterson, G.
- Tracking preference expression (DNT); 2012
- The smartphone psychology manifesto; 2012; Miller, G.
- The practice of social research; 2012; Babbie, E. R.
- The integration of facebook into class management: an exploratory study; 2012; Chou, P. N.
- The effects of item saliency and question design on measurement error in a self-administered survey; 2012; Stern, M. J., D., Mendez, J. D.Smyth, J. D.
- The cross platform report. Q2 -2012 - US; 2012
- Smartphone ownership update: September 2012; 2012; Rainie, L.
- Selection bias of internet panel surveys: A comparison with a paper-based survey and national governmental...; 2012; Tsuboi, S., Yoshida, H., Ae, R., Kojo, T., Nakamura, Y., Kitamura, K.
- Screenwise panel: Frequently Asked Questions; 2012
- Research company spotlight - Mobile surveys; 2012
- Quality in market research. From theory to practice. 2nd Edition; 2012; Harding, D., Jackson, P.
- Participation of mobile users in traditional online studies; 2012; Jue, A.
- Online survey statistics for the mobile future. Updated with Q3 2012 data; 2012
- Ofcom technology tracker Wave 2; 2012
- Not just playing around; 2012; Ewing, T.
- Norme di qualita' Assirm (Assirm quality rules]; 2012
- NBCU enlists Google, ComScore to track multiscreen Olympics viewing; 2012; Spangler, T.
- MRS Guidelines for online reseach; 2012
- More dirty little secrets of online panel research.; 2012
- Mobile email opens report 2nd half 2011; 2012
- Metering mobile usage. Insights from global Arbitron mobile trends panel; 2012; Verkasalo, H.