Search
Skip to Search Results- 6Text mining
- 2Sentiment analysis
- 1Association rules
- 1Big data
- 1Classification
- 1Construction industry--Accidents--Prevention
- 2Zaiane, Osmar
- 1Antonie, Maria-Luiza
- 1Atsegbua, Joshua
- 1Cheng, Dean
- 1Gholipour Shahraki, Ameneh
- 1Kung, Janice Y
- 3Graduate and Postdoctoral Studies (GPS), Faculty of
- 3Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 2Computing Science, Department of
- 2Computing Science, Department of/Technical Reports (Computing Science)
- 1University of Alberta Library
- 1University of Alberta Library/Libraries Staff Publications
-
2001
Antonie, Maria-Luiza, Zaiane, Osmar
Technical report TR01-04. Discriminating between text articles and automatically classifying documents is an essential task for many applications. With the prevalence of digital documents and the wide use of e-mail and web documents, text categorization is regaining interest and is becoming a...
-
Fall 2015
Emotion mining is the science of detecting, analyzing, and evaluating humans’ feelings towards different events, issues, services, or any other interest. One of its specific directions is text emotion mining, that refers to analyzing people’s emotions based on observations of their writings. Text...
-
Machine Learning and Text Mining: A New Approach to Determine the Weather Effects on Construction Incidents
DownloadSpring 2024
In the construction industry, safety standards are not only a priority but a necessity due to the dynamic nature of the field. Workplace safety is a complex issue influenced by a variety of factors that are constantly evolving. Each incident has the potential to impact the industry's intricate...
-
2008
Zaiane, Osmar, Marcet-Palacios, Marcelo, Sheldon, John, Cheng, Dean
Technical report TR08-13. The vast number of on-line biological and medical databases available can be a great resource for medical researchers. However, the different types of data and interfaces available can be overwhelming for many medical researchers to learn. Moreover, the available...
-
Text Mining Applications to Support Health Library Practice: A Case Study on Marijuana Legalization Twitter Analytics
Download2024-01-08
Kung, Janice Y, Shiri, Ali, Ly, Kynan
Background: Twitter is rich in data for text and data analytics research, with the ability to capture trends. Objectives: This study examines Canadian tweets on marijuana legalization and terminology use. Presented as a case study, Twitter analytics will demonstrate the varied applications of how...
-
Spring 2016
How can the principles and concepts applied by visual communication designers be used to assist in exploring and understanding the massive, complex volumes of data now available to Digital Humanities researchers? One method we might employ to help us more easily comprehend the implications of...