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Questionário de análise de sentimento

Teste como os rótulos de sentimento representam atitudes expressas, lidam com aspectos e contextos mistos e apoiam a interpretação cuidadosa de amostras de feedback.

Caminhos de guia relacionadosAnálise de sentimento
Pergunta 1 de 8

Given “The screen is sharp, but setup failed,” why could one document label mislead?

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  1. Given “The screen is sharp, but setup failed,” why could one document label mislead?
    • It would compress praise and criticism about different aspects
    • It would automatically identify the writer
    • It would separate every word into a token
    • It would show the writer’s internal emotion
  2. What helps two annotators label a complaint consistently?
    • A longer model name
    • Documented label and span rules
    • An unstated intuition
    • A larger font
  3. Why evaluate a sentiment model on messages from the actual channel?
    • The channel changes the meaning of all labels
    • A model cannot process short text
    • Language and context differ across channels and domains
    • Evaluation removes the need for review
  4. A message contains sarcasm, negation or a polite complaint. What is the key review?
    • Count only positive adjectives
    • Treat all politeness as praise
    • Ignore the sentence after “but”
    • Inspect context instead of relying on isolated positive words
  5. A dataset is imbalanced across sentiment labels. Which reporting is useful?
    • Only the number of messages
    • Per-class precision and recall as well as overall accuracy
    • Only overall accuracy
    • The average word length
  6. An average sentiment score comes from a small vocal group. What limitation should be stated?
    • It measures every customer equally
    • It establishes why users feel that way
    • It may not represent all users because participation and topics are selective
    • It proves the product is objectively good
  7. Why keep representative messages alongside an aggregate trend?
    • They let reviewers inspect the pattern behind the summary
    • They prove all customers agree
    • They remove the need for consent rules
    • They convert estimates into facts
  8. A positive sentiment label directly tells you that a person
    • Feels happy internally
    • Intends to purchase the product
    • Agrees with every aspect mentioned
    • Used positive language under a labeling scheme, not their private emotional state