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<html lang="en"> | |
<head> | |
<meta charset="UTF-8"/> | |
<meta name="viewport" content="width=device-width, initial-scale=1.0"/> | |
<title>Vectorizing Words Jeopardy</title> | |
<style> | |
:root{ | |
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--blue-dark:#073a84; | |
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*{box-sizing:border-box} | |
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margin:0; min-height:100vh; | |
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h1{ color:#173e8c; margin:22px 0 6px; text-shadow:0 2px 0 #fff;} | |
a.source{ font-size:14px; color:#334; margin-bottom:8px; text-decoration:none} | |
a.source:hover{ text-decoration:underline } | |
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radial-gradient(80% 80% at 50% 25%, rgba(255,255,255,.18), rgba(255,255,255,0) 60%), | |
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box-shadow: | |
0 24px 48px rgba(0,0,0,.4), | |
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inset 0 0 0 1px rgba(255,255,255,.18); | |
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#question-display h2{ margin:8px 0 6px; color:#0d2b6f } | |
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#score{ font-size:24px; font-weight:800; color:#0d2b6f; margin:0 0 8px 0 } | |
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.feedback{ margin-top:10px; font-size:18px; font-weight:800 } | |
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@keyframes ring{ 0%{opacity:1;transform:scale(1)} 50%{opacity:.1;transform:scale(.96)} 100%{opacity:1;transform:scale(1)} } | |
.daily-double-banner{ color:#b30000; font-weight:900; font-size:22px; margin:8px 0 } | |
/* Review */ | |
#review{ | |
width:min(1000px, 92vw); | |
margin:14px 0 24px 0; | |
padding:12px; | |
background:#fff; | |
border:1px solid #ccd3e0; | |
border-radius:12px; | |
box-shadow:0 6px 20px rgba(0,0,0,.08); | |
} | |
#review h3{ margin:0 0 8px 0; color:#0d2b6f } | |
.missed{ margin:8px 0; text-align:left } | |
.missed .q{ font-weight:700 } | |
.missed .a{ margin-left:8px } | |
</style> | |
</head> | |
<body> | |
<h1>Vectorizing Words Jeopardy</h1> | |
<a class="source" href="https://www.linkedin.com/pulse/turning-text-numbers-word2vec-glove-fasttext-michael-lively-vtwde/" target="_blank"> | |
Source: Turning Text Into Numbers β Word2Vec, GloVe, FastText | |
</a> | |
<div class="topbar"> | |
<div id="score">Score: 0</div> | |
<button class="btn-reset" id="reset-btn" title="Start a fresh round">Reset Game</button> | |
</div> | |
<div class="stage"> | |
<div id="game-board"> | |
<div class="category">Embedding Basics</div> | |
<div class="category">Word2Vec: CBOW & Skip-gram</div> | |
<div class="category">GloVe & Global Stats</div> | |
<div class="category">FastText & Subwords</div> | |
<div class="category">Training & Tools</div> | |
<!-- cards will be injected --> | |
</div> | |
</div> | |
<div id="question-display"></div> | |
<div id="review" style="display:none;"></div> | |
<audio id="dd-audio" preload="auto"> | |
<source src="daily-double.mp3" type="audio/mpeg"> | |
</audio> | |
<div id="dd-overlay" class="dd-overlay"><div class="dd-text">DAILY DOUBLE!</div></div> | |
<script> | |
const categories = [ | |
"Embedding Basics", | |
"Word2Vec: CBOW & Skip-gram", | |
"GloVe & Global Stats", | |
"FastText & Subwords", | |
"Training & Tools" | |
]; | |
// β Corrected answer keys included | |
const questions = [ | |
// Embedding Basics | |
[ | |
{ q: "Compared to Bag of Words/TF-IDF, word embeddings primarily:", a: ["Capture meaning via context, not just frequency", "Apply hand-written linguistic rules", "Ignore context entirely"], correct: 0 }, | |
{ q: "Which metric measures similarity by the angle between vectors?", a: ["Euclidean distance", "Cosine similarity", "Jaccard index"], correct: 1 }, | |
{ q: "A common way to visualize high-dimensional embeddings in 2D is:", a: ["Gradient Descent", "Backpropagation", "PCA or t-SNE"], correct: 2 } | |
], | |
// Word2Vec: CBOW & Skip-gram | |
[ | |
{ q: "CBOWβs training objective is to:", a: ["Predict the target word from surrounding context words", "Predict the context from the target word", "Factorize the co-occurrence matrix"], correct: 0 }, | |
{ q: "Skip-gramβs training objective is to:", a: ["Count word frequencies", "Predict surrounding context words from a target word", "Remove stopwords before training"], correct: 1 }, | |
{ q: "Which techniques speed up Word2Vec training?", a: ["Bag-of-Words and TF-IDF", "Count vectors and hashing", "Negative sampling and/or hierarchical softmax"], correct: 2 } | |
], | |
// GloVe & Global Stats | |
[ | |
{ q: "GloVe learns embeddings mainly by:", a: ["Matrix factorization of a word co-occurrence matrix", "Predicting characters from bytes", "Labeling sentences with topics"], correct: 0 }, | |
{ q: "In GloVe, a weighting function is used to:", a: ["Increase the window size automatically", "Balance frequent and rare words so common terms don't dominate", "Normalize vectors to unit length"], correct: 1 }, | |
{ q: "Compared with Word2Vec, GloVe is especially strong at capturing:", a: ["Local syntactic patterns only", "Character-level morphology", "Global relationships across the entire corpus"], correct: 2 } | |
], | |
// FastText & Subwords | |
[ | |
{ q: "FastText represents a word as:", a: ["A single one-hot vector", "Character n-grams (subword units) combined", "Only its stem or lemma"], correct: 1 }, // fixed | |
{ q: "A key advantage of FastText over Word2Vec is that it:", a: ["Requires no training data", "Handles out-of-vocabulary words via subwords", "Eliminates the need for context windows"], correct: 1 }, | |
{ q: "FastText training generally uses the same framework as Word2Vec:", a: ["No, it uses topic modeling only", "Partly, but only with CBOW", "Yes, CBOW and/or Skip-gram with subwords"], correct: 2 } | |
], | |
// Training & Tools | |
[ | |
{ q: "Embedding quality generally improves with:", a: ["Smaller, single-topic corpora", "Random word shuffling", "Larger and more diverse corpora and well-chosen window sizes"], correct: 2 }, // fixed | |
{ q: "Which library is optimized for production-grade NLP with pretrained vectors?", a: ["NLTK", "spaCy", "A spreadsheet"], correct: 1 }, | |
{ q: "Which statement about classic embeddings is most accurate?", a: ["They are rule-based representations", "They fully model document-level structure like Transformers", "They learn from context but donβt capture full sequence structure; Transformers handle that"], correct: 2 } | |
] | |
]; | |
let score = 0, answered = 0; | |
const total = 15; | |
const board = document.getElementById("game-board"), | |
qdisp = document.getElementById("question-display"), | |
sdisp = document.getElementById("score"), | |
review = document.getElementById("review"); | |
const ddOverlay = document.getElementById("dd-overlay"); | |
const ddAudio = document.getElementById("dd-audio"); | |
// Track where the correct answer ended up after shuffling, per "c-r" key | |
const shuffleRegistry = new Map(); | |
const missedQuestions = []; | |
const dailyDouble = { col: Math.floor(Math.random() * 5), row: Math.floor(Math.random() * 3) }; | |
document.getElementById('reset-btn').addEventListener('click', () => { | |
// simple reset: reload page to fresh state | |
location.reload(); | |
}); | |
function createBoard() { | |
// inject 15 cards (3 rows x 5 columns) | |
for (let row = 0; row < 3; row++) { | |
for (let col = 0; col < 5; col++) { | |
const card = document.createElement("div"); | |
card.className = "card tilt"; | |
card.textContent = `$${(row + 1) * 100}`; | |
card.dataset.col = col; | |
card.dataset.row = row; | |
// tilt effect | |
card.addEventListener("mousemove", (e) => { | |
const r = card.getBoundingClientRect(); | |
const x = (e.clientX - r.left) / r.width; | |
const y = (e.clientY - r.top) / r.height; | |
const ry = (x - 0.5) * 10; | |
const rx = (0.5 - y) * 10; | |
card.style.setProperty("--ry", `${ry}deg`); | |
card.style.setProperty("--rx", `${rx}deg`); | |
}); | |
card.addEventListener("mouseleave", () => { | |
card.style.removeProperty("--ry"); | |
card.style.removeProperty("--rx"); | |
}); | |
card.onclick = () => handleCardClick(card); | |
board.appendChild(card); | |
} | |
} | |
} | |
function handleCardClick(card){ | |
if (card.classList.contains("disabled")) return; | |
const col = +card.dataset.col; | |
const row = +card.dataset.row; | |
const isDD = (col === dailyDouble.col && row === dailyDouble.row); | |
if (isDD){ | |
triggerDailyDouble(card, () => showQuestion(col, row, card, true)); | |
} else { | |
showQuestion(col, row, card, false); | |
} | |
} | |
function triggerDailyDouble(card, onDone){ | |
const ring = document.createElement("div"); | |
ring.className = "flash-ring"; | |
card.appendChild(ring); | |
ddAudio.currentTime = 0; | |
ddAudio.play().catch(()=>{}); | |
ddOverlay.style.display = "flex"; | |
setTimeout(() => { | |
ddOverlay.style.display = "none"; | |
ring.remove(); | |
onDone(); | |
}, 2400); | |
} | |
function showQuestion(categoryIndex, difficulty, card, isDailyDouble){ | |
const q = questions[categoryIndex][difficulty]; | |
// Build shuffled options and record where the correct one ended up | |
const options = q.a.map((text, origIdx) => ({ text, origIdx })); | |
for (let i = options.length - 1; i > 0; i--) { | |
const j = Math.floor(Math.random() * (i + 1)); | |
[options[i], options[j]] = [options[j], options[i]]; | |
} | |
const shuffledCorrectIndex = options.findIndex(o => o.origIdx === q.correct); | |
const key = `${categoryIndex}-${difficulty}`; | |
shuffleRegistry.set(key, { shuffledCorrectIndex, isDailyDouble }); | |
const dailyDoubleBanner = isDailyDouble ? `<div class="daily-double-banner">π DAILY DOUBLE! π</div>` : ""; | |
qdisp.innerHTML = ` | |
${dailyDoubleBanner} | |
<h2>${categories[categoryIndex]} for $${(difficulty + 1) * 100}${isDailyDouble ? " (x2)" : ""}</h2> | |
<p>${q.q}</p> | |
<div class="answer-container"> | |
${options.map((opt, i) => | |
`<button class="answer-btn" data-ans="${i}" data-key="${key}">${opt.text}</button>` | |
).join("")} | |
</div> | |
`; | |
// disable the card so it can't be opened again | |
card.classList.add("disabled"); | |
// attach click handlers to answers (no inline booleans) | |
document.querySelectorAll('.answer-btn').forEach(btn => { | |
btn.addEventListener('click', () => { | |
if (btn.classList.contains('disabled')) return; | |
const chosenIndex = parseInt(btn.getAttribute('data-ans'), 10); | |
const k = btn.getAttribute('data-key'); | |
checkAnswer(categoryIndex, difficulty, chosenIndex, k); | |
}, { once: true }); | |
}); | |
} | |
function checkAnswer(cat, diff, chosenShuffledIndex, key){ | |
const q = questions[cat][diff]; | |
const reg = shuffleRegistry.get(key); | |
const isCorrect = (chosenShuffledIndex === reg.shuffledCorrectIndex); | |
let val = (diff + 1) * 100; | |
if (reg.isDailyDouble) val *= 2; | |
// lock buttons (prevent multiple scoring) | |
document.querySelectorAll(".answer-btn").forEach(b => { | |
b.disabled = true; b.classList.add("disabled"); | |
}); | |
if (isCorrect) { | |
score += val; | |
qdisp.innerHTML += `<p class="feedback" style="color:green;">β Correct! +$${val.toLocaleString()}</p>`; | |
} else { | |
score -= val; | |
const correctText = q.a[q.correct]; | |
const chosenText = q.a[ | |
// translate shuffled index back to original by comparing text (safe here; could also carry mapping) | |
q.a.findIndex((orig, idx) => { | |
// find the text for chosenShuffledIndex by looking up the rendered button text | |
// simpler: we recorded only shuffled index; to show user's text, just read from DOM: | |
return false; // placeholder, we'll get from DOM below | |
}) | |
]; | |
// Grab the chosen text from the DOM directly | |
const chosenBtn = document.querySelector(`.answer-btn[data-ans="${chosenShuffledIndex}"][data-key="${key}"]`); | |
const chosenPretty = chosenBtn ? chosenBtn.textContent : "(your choice)"; | |
qdisp.innerHTML += `<p class="feedback" style="color:#b00020;">β Wrong! β$${val.toLocaleString()}<br/>Correct answer: <em>${correctText}</em></p>`; | |
// record for review | |
missedQuestions.push({ | |
category: categories[cat], | |
value: `$${(diff+1)*100}${reg.isDailyDouble ? " (x2)" : ""}`, | |
question: q.q, | |
yourAnswer: chosenPretty, | |
correctAnswer: correctText | |
}); | |
} | |
sdisp.textContent = `Score: ${score}`; | |
answered++; // increment only after answering | |
if (answered === total) { | |
endGame(); | |
} | |
} | |
function endGame(){ | |
qdisp.innerHTML += `<h2 style="margin-top:12px">Game Over!</h2><p>Your final score: $${score.toLocaleString()}</p>`; | |
if (missedQuestions.length){ | |
const items = missedQuestions.map(m => | |
`<div class="missed"> | |
<div class="q">(${m.category} β’ ${m.value}) ${m.question}</div> | |
<div class="a">Your answer: <em>${m.yourAnswer}</em></div> | |
<div class="a">Correct: <strong>${m.correctAnswer}</strong></div> | |
</div>` | |
).join(""); | |
review.style.display = "block"; | |
review.innerHTML = `<h3>Review: Questions to Revisit (${missedQuestions.length})</h3>${items}`; | |
} else { | |
review.style.display = "block"; | |
review.innerHTML = `<h3>Perfect Round!</h3><p>You answered all questions correctly π</p>`; | |
} | |
} | |
// Build the board | |
createBoard(); | |
</script> | |
</body> | |
</html> |