Applied AICollège Unica
5.3SpecializationSession 5 · Capstone Studio & Industry Deployment

Data mining techniques and analysis of textual and social network data

15classes45htotalTH1 · PR2 · PNW2weighting per class

Class-by-class breakdown

15 classes

TH = theory · PR = practical · PNW = personal work. These are ministry weighting codes (not hours) used to split each class's minutes. Class length = course hours ÷ class count; the three time-boxes below always sum to that length.

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First 2 classes free with a referral 14 more with enrollment180 min per classTheory 36mPractical 72mPersonal Work 72m
1

From Counts to Understanding — LLMs for Text Mining

FreeTH1PR2PNW2

A Digital Marketing Strategist who uses an LLM to understand reviews instead of just counting words finds what customers actually mean — GenAI turns text into meaning.

Theory36m
  • What text mining is and how LLMs changed it (understanding vs counting)
  • The GenAI text workflow: collect, clean, prompt, extract, summarize
  • Where LLMs beat classic methods (nuance, themes) and where they risk hallucination
Practical72m
  • Load a set of sample reviews and ask an LLM to summarize the top 3 complaints
  • List 3 business questions a brand could answer with an LLM over its reviews
Personal Work72m
  • Write a one-page LLM-text-mining plan for a sample review dataset
  • Micro-task: submit your plan
2

Preprocessing for LLMs — Cleaning Text for Prompts

LockedTH1PR2PNW2

Locked class preview

A Data/Business Analyst who cleans text before sending it to an LLM gets cleaner answers and lower cost — preprocessing still matters in the GenAI era

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3

LLM Sentiment and Tone — Beyond Positive/Negative

LockedTH1PR2PNW2

Locked class preview

A Sales and Marketing Manager who gets nuanced sentiment and tone from an LLM spots a brand-health shift before the sales data does — GenAI reads between the lines

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4

Topic and Theme Extraction — Letting the LLM Find the Themes

LockedTH1PR2PNW2

Locked class preview

A Data/Business Analyst who lets an LLM discover the themes in 1,000 reviews finds the real drivers of churn — LLM topic extraction surfaces what matters without a fixed list

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5

Structured Extraction — Turning Reviews Into Data

LockedTH1PR2PNW2

Locked class preview

An AI Integration Manager who turns free-text reviews into structured fields (rating, product, issue) can analyze them like any other data — structured extraction is the bridge

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6

Named Entities With LLMs — Brands, Products and People

LockedTH1PR2PNW2

Locked class preview

A Digital Marketing Strategist who uses an LLM to extract brand and product mentions from social posts tracks mentions without manual scanning — LLM NER finds the entities

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7

Social Data Collection — APIs, Export and Ethics

LockedTH1PR2PNW2

Locked class preview

A Data/Business Analyst who pulls social data through APIs feeds a live listening agent — social data is where LLM text mining meets the real world

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8

RAG Over Social and Review Data — Grounded Listening

LockedTH1PR2PNW2

Locked class preview

A Sales and Marketing Manager whose listening agent answers 'what do customers say about X?' by retrieving real posts instead of guessing builds trust — RAG grounds social listening

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9

Social Listening Agent — Asking 'How Is Our Brand Doing?'

LockedTH1PR2PNW2

Locked class preview

A Digital Marketing Strategist who asks a listening agent 'how was our launch received?' gets a grounded answer in minutes — conversational listening replaces manual scanning

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10

Trend and Buzz Detection — 'What's Rising Right Now?'

LockedTH1PR2PNW2

Locked class preview

A Data/Business Analyst whose agent flags rising terms over time catches a trend before competitors — buzz detection powered by LLMs is a competitive edge

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11

Social Network Analysis With GenAI — Who Influences Whom?

LockedTH1PR2PNW2

Locked class preview

A Digital Marketing Strategist who uses an LLM to map who influences whom targets the real amplifiers first — GenAI helps read the network's meaning

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12

Bias and Hallucination in Text Agents — Reading Responsibly

LockedTH1PR2PNW2

Locked class preview

An AI Integration Manager whose listening agent overstates sentiment because the data skews positive ships a misleading report — bias and hallucination checks keep text mining honest

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13

Review Summarization at Scale — Thousands of Voices, One Summary

LockedTH1PR2PNW2

Locked class preview

A Data/Business Analyst who uses an LLM to summarize thousands of reviews into the top issues and wins turns noise into a prioritized backlog — GenAI summarization is the volume lever for text mining

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14

Visualizing Text Insights — Charts That Land

LockedTH1PR2PNW2

Locked class preview

A Project Manager who shows a clear chart of the agent's findings communicates them instantly — visualization makes LLM insights land with stakeholders

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15

Mini-Project — A Social Listening Agent

LockedTH1PR2PNW2

Locked class preview

This capstone rehearsal proves a Digital Marketing Strategist can build a listening agent that turns raw social and review text into a grounded, cited, board-ready insight report

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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5.2 · Web analytics and marketing database analysis

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5.4 · Search engines and recommendation systems

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