Bird
0
0

Which of the following best describes how VADER calculates sentiment scores?

easy📝 Conceptual Q2 of 15
NLP - Sentiment Analysis Advanced
Which of the following best describes how VADER calculates sentiment scores?
ABy using a pre-built dictionary of words with sentiment values
BBy training a deep neural network on labeled data
CBy clustering words based on their frequency
DBy translating text into numerical vectors using TF-IDF
Step-by-Step Solution
Solution:

  1. Step 1: Recall VADER's method

    VADER uses a lexicon, which is a dictionary of words with assigned sentiment scores.

  2. Step 2: Compare options

    Only By using a pre-built dictionary of words with sentiment values describes this lexicon-based approach; others describe different NLP methods.

  3. Final Answer:

    By using a pre-built dictionary of words with sentiment values -> Option A

  4. Quick Check:

    VADER method = Lexicon dictionary [OK]
Quick Trick: VADER uses word sentiment dictionary, not training models [OK]
Common Mistakes:
MISTAKES
  • Confusing VADER with machine learning models
  • Thinking VADER clusters words
  • Assuming VADER uses TF-IDF vectors

Want More Practice?

15+ quiz questions · All difficulty levels · Free

Free Signup - Practice All Questions
More NLP Quizzes
Sentiment Analysis Advanced - Multilingual sentiment - Quiz 2easy Sentiment Analysis Advanced - Sentiment with context (sarcasm, negation) - Quiz 1easy Sentiment Analysis Advanced - Multilingual sentiment - Quiz 4medium Sequence Models for NLP - Why sequence models understand word order - Quiz 7medium Text Generation - Evaluating generated text (BLEU, ROUGE) - Quiz 9hard Text Similarity and Search - Cosine similarity - Quiz 15hard Word Embeddings - FastText embeddings - Quiz 9hard Word Embeddings - Word similarity and analogies - Quiz 11easy Word Embeddings - Training Word2Vec with Gensim - Quiz 6medium Word Embeddings - FastText embeddings - Quiz 10hard