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Full-Text Articles in Computational Linguistics
A Sentiment Analysis Of "Filipinx" On Twitter Using A Multinomial Naïve Bayes Classification Model, Clarisse Taboy
A Sentiment Analysis Of "Filipinx" On Twitter Using A Multinomial Naïve Bayes Classification Model, Clarisse Taboy
Dissertations, Theses, and Capstone Projects
On social media, the use of “Filipinx” as a gender neutral, inclusive term for “Filipino” tends to generate high user engagement, at times without regard for the original context in which the word appears. This project applies computational methods to collect a large dataset in English/Filipino from Twitter containing “Filipinx”, and to train a Naïve Bayes model to classify tweets into three sentiments: positive, neutral, and negative. My methodology takes inspiration from that of four related studies that similarly conducted sentiment analysis on English/Filipino tweets involving various topics, and whose resulting accuracy scores were compared side-by-side. Conducting sentiment analysis on …
Cell Phone Ethnography: Mixed Methods And The Brand Consumer Relationship, Robert Nathaniel Dove
Cell Phone Ethnography: Mixed Methods And The Brand Consumer Relationship, Robert Nathaniel Dove
Masters Theses
Overall, the goal of this study is to identify and differentiate the various motivations and cultural influences that can be used to explain consumer behavior. In doing so, this study hopes to facilitate the development of new and innovative marketing strategies, providing a new research design for the ethnographer’s toolkit. More importantly, this model can give shape to new constructs and new variables for further empirical testing in the field through quantitative and qualitative methods. By blending the two approaches, using qualitative interpretive anthropological analysis by field study with quantitative sentiment analysis adapted from market researcher Jeffery Breen’s (2012) methodology, …