Browsing by Author "Duque, Gilwu Asher G."

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    (Don Mariano Marcos Memorial State University – Mid La Union Campus, 2025-11) Duque, Gilwu Asher G.; Estepa, Ma. Angelica N.; Galvez, Raphael Antonio B.; Manahan, John Felix R.; Patajo, Odrei John C.; Sapuay-Guillen, Sheena I.; Pimentel, Emmalou B.; Nisperos, Zhella Anne V.; Novencido, Denver A.
    Sentiment Scope: Sentiment-Driven Smartphone Reviews with Topic Modeling is a study that aimed to provide users insights about customer reviews regarding smartphones through Sentiment Analysis and Topic Modeling. The study utilized Natural Language Processing techniques to deliver machine learning abilities in the form of an interactive web application. The main objective of the study was to give users an efficient and innovative way to gather information about smartphones before making a decision to purchase. Information like sentiments and commonly mentioned topics can be useful for consumers that were not tech-savvy or well informed about specific smartphones. Ultimately, the integration of sentiment analysis and topic modeling offered an efficient and innovative approach to understanding consumer perspectives, allowing users to make more informed purchasing decisions in a competitive smartphone market.
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    Sentiment Scope:
    (Don Mariano Marcos Memorial State University – Mid La Union Campus, 2025-11) Duque, Gilwu Asher G.; Estepa, Ma. Angelica N.; Galvez, Raphael Antonio B.; Manahan, John Felix R.; Patajo, Odrei John C.; Sapuay-Guillen, Sheena I.; Pimentel, Emmalou B.; Nisperos, Zhella Anne V.
    Sentiment Scope: Sentiment-Driven Smartphone Reviews with Topic Modeling is a study that aimed to provide users insights about customer reviews regarding smartphones through Sentiment Analysis and Topic Modeling. The study utilized Natural Language Processing techniques to deliver machine learning abilities in the form of an interactive web application. The main objective of the study was to give users an efficient and innovative way to gather information about smartphones before making a decision to purchase. Information like sentiments and commonly mentioned topics can be useful for consumers that were not tech-savvy or well informed about specific smartphones. Ultimately, the integration of sentiment analysis and topic modeling offered an efficient and innovative approach to understanding consumer perspectives, allowing users to make more informed purchasing decisions in a competitive smartphone market.