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Skip to Search Results- 8Sentiment analysis
- 3Twitter
- 2Machine learning
- 2Text mining
- 1 Climate change
- 1Aboriginal identification
- 1Dergacheva, Elena L
- 1Gholipour Shahraki, Ameneh
- 1Golmohammadi, Seyed Koosha
- 1Kung, Janice Y
- 1Ly, Kynan
- 1Mirzaalian, Farshid
- 2Zaiane, Osmar (Computing Science)
- 1Davis, Faith G. (School of Public Health)
- 1Dr. Geoffrey Rockwell (Humanities Computing), Dr. Peter A. Rolland (Modern Languages and Cultural Studies)
- 1Halpenny, Elizabeth (Faculty of Kinesiology, Sport, and Recreation)
- 1Rockwell, Geoffrey (Media Tech Studies)
- 1Yasui, Yutaka (School of Public Health)
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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...
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Exploring Competitiveness of Nature-based Tourism Destinations Using Social Media Analytics: A Case Study of Jasper National Park
DownloadSpring 2021
The aim of this dissertation was to explore competitiveness of Jasper National Park as a nature-based tourism destination through an examination of social media conversations and consideration of macro and microenvironment factors introduced in the Tourism Destination Competitiveness model,...
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Fall 2015
Polarity classification in text is the problem of automatically detecting the general opinion of textual data. Analyzing the general opinion toward a topic of interest is important for different audiences, such as companies, politicians or even regular users. On the other hand, the availability of...
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Public Health Applications Using Big Data and Machine Learning Methods: Name- and Location-based Aboriginal Ethnicity Classification and Sentiment Analysis of Breast Cancer Screening in the United States Using Twitter
DownloadFall 2017
Applications using big data and machine learning techniques are transforming how people live in the 21st century, however they are generally underutilized in public health compared to other domains. We proposed and conducted two independent studies to investigate how big data and machine learning...
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Text analysis of Maxpark and LiveJournal Russia: How is the evaluation of modern femininity and masculinity discussed in Russian blogs
DownloadFall 2014
This thesis focuses on text analysis of Russian speaking blogs with the goal to examine critically discussions of femininity and masculinity in modern Russian society. The data corpora are comprised of blogs and comment entries from websites Maxpark.com and LiveJournal Russia. The central...
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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...
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Fall 2016
Anomaly detection in time series is one of the fundamental issues in data mining. It addresses various problems in different domains such as intrusion detection in computer networks, anomaly detection in healthcare sensory data, and fraud detection in securities. Though there has been extensive...
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Understanding the Changes in Positive and Negative Sentiments in the Discourse of the COVID-19 Pandemic in Alberta
DownloadSpring 2024
The severe acute respiratory syndrome caused by the SARS coronavirus was declared a pandemic in March 2020 by the World Health Organisation. Alberta as other provinces and countries had to face the challenge of fighting this syndrome that caused what is commonly known as the COVID-19 pandemic....