Track feedback, monitor teaching trends, and support better academic decisions — all in one sentiment-aware analytics platform built for higher education.
Sentiment analysis and topic modeling across multiple Philippine languages, mapped to the evaluation dimensions your institution already uses.
Classify feedback as positive, neutral, or negative across English, Tagalog, Cebuano, and common code-switched variants.
Surface recurring themes across thousands of comments — ranked by volume and colored by sentiment breakdown.
Names, sections, and identifying details are stripped before faculty see any comment — no extra workflow required.
Map your questionnaire to Likert dimensions — clarity, engagement, fairness, and whatever else your deans track.
Automatic classification from Excellent to Needs Improvement, using the cut-points your institution already adopts.
Students, faculty, chairs, deans, and SuperAdmins each see the right scope — nothing more, nothing less.
Quantitative scores and qualitative sentiment, notably misaligned — or perfectly in sync. Faculytics tells you which, and why.
Positive sentiment rate, semester-over-semester trend, and theme breakdown — readable on a phone in the five minutes between classes.
From the student submitting feedback to the SuperAdmin configuring the questionnaire — each role sees the data they need and nothing they don't.
Submit honest, anonymous feedback per course in under five minutes.
Review redacted feedback and track your teaching trends across semesters.
Monitor college- and department-level performance with drilldown detail.
Configure questionnaires, dimensions, and interpretation bands institution-wide.
Drag-drop Likert items, open-ended prompts, and dimension tagging — all in one place. SuperAdmins publish once and the questionnaire goes live across every campus, semester, and section.
Monitor submission rates by course, campus, and section as they come in. Send gentle reminders, lock windows when needed, and close the semester with a complete picture.
Faculytics is an undergraduate thesis project — not a commercial startup. Built by four computing students at the University of Cebu as a real research artifact exploring sentiment analysis and topic modeling on Filipino student feedback.
Owns product direction, the evaluation instrument's interface, manuscript documentation, and ships frontend alongside the dev team.
Works across the frontend dashboards and backend services — from React components to NestJS endpoints and queue processors.
Fine-tunes the multilingual sentiment analyzer powering Faculytics, trained on English, Tagalog, and Cebuano feedback.
Builds the frontend and backend, and fine-tuned the topic-modeling pipeline that surfaces themes across thousands of comments.
Book a walkthrough with the Faculytics team. We'll load one semester of your real evaluation data and show you what's in it.