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Sentiment Analysis of TUP Students’ Reviews Using Supervised Machine…
Sentiment Analysis of TUP Students’ Reviews Using Supervised Machine Learning for Natural Language Processing
INTRODUCTION
Frenzy Royse M. Reyes
Individuals are becoming more and more willing to share their opinions, beliefs, and lifestyle preferences in today's environment where vast amounts of information are available online. Students spend most of their time in school and tend to express their sentiments in life.
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Joshua A. Garcia
In order to provide services with outstanding quality, organizations must consider the their target's opinion, subjective as they may be, onto their whole structural formula on provision, which is why the study aims to provide additional knowledge to the behavioral patterns of the students from TUP.
Angelo Andres
As Technological
University of the Philippines (TUP) is a state university with
recognized excellence in engineering and technology
education. It is good to keep track of comments and reviews to
learn and improve quality and policies of the school.
Zarene Guingab
Since sentiment studies are a type of data mining that may track public sentiment toward numerous topics. It serves as the foundation for techniques in computational linguistics, biometrics, machine learning, and natural language processing. TUP Freedom wall is our choice for sentiment analysis since it provides chances for the sensitivity of articulated disposition
OBJECTIVE OF THE STUDY
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Joshua A. Garcia
To take advantage from the rise of software operation as a replacement to traditional physical tallying to overall quality of life improvement.
Angelo Andres
Make use of Supervised machine learning for natural language processing and text analysis for the accumulated sample data
Zarene Guingab
This helps the university provide its students with the competitive advantage of a healthy learning environment and it is crucial for student satisfaction and dedication to affiliation with the university.
SCOPE & LIMITATION
Frenzy Royse M. Reyes
The study will be focusing on students’ opinion about Technological University of the Philippines (TUP).
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Joshua A. Garcia
Text analysis for underlying sentiment and not any other emotional analysis i.e., intent analysis.
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Zarene Guingab
Utilization of API to provide solutions on the said problems after performing Sentiment Analysis from the collected bag of words on SA.
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