Mining Meaning

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Language and communication now flow through digital platforms at massive scales. The theme “Mining Meaning: NLP, Social Media & Civic Data” uses natural language processing (NLP) and data science to extract insights from text, ranging from social media chatter to civic and government datasets.

Projects in this theme may include sentiment analysis, misinformation detection, civic data mining, or chatbot development. Students learn to treat language as data, uncovering patterns that support transparency, strengthen communication, and inform better decisions in society.

BESANDE, Mary Jane S., BSCS 2018
Crowdsourcing commodity prices: An application with optimal planning for store routes
MONTOYA, Anne Kristine R., BSCS 2017 cum laude
Illegal drug event detection via Twitter
PEREA, Sarah D., BSCS 2018
Plaggregator: A plagiarism checker aggregator
POSERIO, Clinton E., BSCS 2016 cum laude
Twitter sentiment analysis and visualization: Emotion extraction from Tweets using Naive Bayes classifier and spatio-temporal visualization
PURIFICACION, Edlex J., BSCS 2016
Automatic generation of assessment questions using text as input
ROMBAWA, Justin Aaron S., BSCS 2019
Verdad: An online peer review system for news articles
SAAVEDRA, Justin Louis L., BSCS 2025
PANG-KAT: A Dedicated Tokenizer for the Tagalog Language
SUMINISTRADO, Arde Samuel I., MIT 2023
A computational pipeline for the automatic generation of audiovisual representations of conversations of comments and comment replies from YouTube videos

Students are invited to participate in this theme by designing tools and models that extract meaningful insights from language data. Whether one's interest lies in building chatbots, analyzing social media trends, detecting misinformation, or mining civic datasets for patterns, the work can demonstrate how text analysis supports transparency, communication, and collective problem-solving. By joining this theme, the student contributes to turning raw language into actionable knowledge that serves communities and society.