Natural Language Processing · free preview

Lexicons of Sentiment and Affect

Affective meaning and its typology, the standard lexicons, and three ways to grow them, human labeling, seed-based induction, and supervision from review scores.

1. Lexicons of Sentiment and Affect

Lexicons of Sentiment and Affect

2. Lexicons on the shelf

Lexicons on the shelf

3. Growing a lexicon from seeds

Growing a lexicon from seeds

4. An axis for the ferry reviews

An axis for the ferry reviews

5. Sorting the affective states

A deckhand reports being irritable for the whole week, with no single trigger, after being furious when the manifest went overboard for an hour. Which pairing of affect classes fits the two states?

6. Placing words in affect space

In the dimensional view of emotion, what do the valence, arousal and dominance axes measure, and which word sits high on arousal and low on valence?

7. Scoring a word against the axis

A word embedding is (5,3)(5, 3) and a semantic axis built from positive and negative seed centroids is (2,4)(2, 4). Compute the cosine between them, the word's polarity score, rounding to three decimals.

8. And versus but

The semi-supervised lexicon induction family exploits syntactic coordination as a polarity cue. Which claim about the cue is correct?

9. The ratio rule

A rule-based classifier counts weighted positive evidence f+=7f^+ = 7 and weighted negative evidence f−=1f^- = 1 in a review, labeling positive when f+/f−>1.5f^+/f^- > 1.5, negative when f−/f+>1.5f^-/f^+ > 1.5, and neutral otherwise. Compute the value of f+/f−f^+/f^-, rounding to three decimals.

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