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Top 100+ questions in NLP using Python
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Questions
NLP using Python
0
votes
Q: Which of the following model needs fewer training samples to learn the word embeddings?
asked
Mar 5
in
NLP using Python
by
Robindeniel
nlp
0
votes
Q: Which of the following values is passed to sg parameter of gensim Word2Vec() to generate word vectors using CBOW gram model?
asked
Mar 5
in
NLP using Python
by
Robindeniel
cbow
0
votes
Q: Which of the following function in Keras is used to add the embedding layer to the model?
asked
Mar 5
in
NLP using Python
by
Robindeniel
layer-model
0
votes
Q: Which of the following activations is used in the CBOW model in its final layer to learn word embeddings?
asked
Mar 5
in
NLP using Python
by
Robindeniel
nlp
0
votes
Q: Which of the following option is the drawback of representing text as one hot encoding?
asked
Mar 5
in
NLP using Python
by
Robindeniel
nlp
0
votes
Q: For the window size two, what would be the maximum number of target words that can be sampled for skip gram model?
asked
Mar 5
in
NLP using Python
by
Robindeniel
window-size
nlp
0
votes
Q: Which of the following model tries to predict the context word based on the target?
asked
Mar 5
in
NLP using Python
by
Robindeniel
nlp
0
votes
Q: Which of the following model learns the word embeddings based on the co-occurrence of the words in the corpus?
asked
Mar 5
in
NLP using Python
by
Robindeniel
nlp
0
votes
Q: Which of the following algorithm takes into account the global context of the word to generate word vectors?
asked
Mar 5
in
NLP using Python
by
Robindeniel
nlp
glove-model
0
votes
Q: Which of the following model does not use the activation function to generate word embeddings?
asked
Mar 5
in
NLP using Python
by
Robindeniel
nlp
0
votes
Q: Which of the following is the constructor used in gensim to generate word vectors?
asked
Mar 5
in
NLP using Python
by
Robindeniel
nlp
0
votes
Q: Which of the following metrics uses the dot product of two vectors to determine the similarity?
asked
Mar 5
in
NLP using Python
by
Robindeniel
dot-product
nlp
0
votes
Q: Which of the following models use co-occurrence matric to generate word vectors?
asked
Mar 5
in
NLP using Python
by
Robindeniel
nlp
0
votes
Q: What is the POS tag for unknown?
asked
Sep 28, 2022
in
NLP using Python
by
john ganales
nlp
spacy
0
votes
Q: What is the output of: doc = nlp(“The quick brown fox jumps over the lazy dog”) print(doc[2:4])?
asked
Sep 28, 2022
in
NLP using Python
by
john ganales
nlp
spacy
0
votes
Q: What is the name of the displaCy visualizer?
asked
Sep 28, 2022
in
NLP using Python
by
john ganales
nlp
spacy
0
votes
Q: displaCy can be used in Jupyter Notebooks. Is the statement true or false?
asked
Sep 28, 2022
in
NLP using Python
by
john ganales
displacy
spacy
nlp
0
votes
Q: Indexing in a Span object is character-wise. Is the statement true or false?
asked
Sep 28, 2022
in
NLP using Python
by
john ganales
indexing
nlp
spacy
0
votes
Q: A Doc object is a collection of what objects?
asked
Sep 28, 2022
in
NLP using Python
by
john ganales
doc-object
spacy
nlp
0
votes
Q: Name the function used to find similarity score in spaCy?
asked
Sep 28, 2022
in
NLP using Python
by
john ganales
nlp
spacy
0
votes
Q: ______ is the displaCy method used to get the HTML representation of the visualization.
asked
Sep 28, 2022
in
NLP using Python
by
john ganales
nlp
spacy
0
votes
Q: Strings are handled internally in their unhashed forms.Is the statement true or false?
asked
Sep 28, 2022
in
NLP using Python
by
john ganales
nlp
spacy
0
votes
Q: Name the method that can be used to find the expansion of abbreviations in spaCy.
asked
Sep 28, 2022
in
NLP using Python
by
john ganales
nlp
method
spacy
0
votes
Q: DisplaCy is used to visualize syntactic dependencies. Is the statement true or false?
asked
Sep 28, 2022
in
NLP using Python
by
john ganales
displacy
spacy
nlp
0
votes
Q: TF-IDF helps you to establish?
asked
Sep 8, 2022
in
NLP using Python
by
Robin
nlp
tf
idf
0
votes
Q: Identify the odd one out
asked
Sep 8, 2022
in
NLP using Python
by
Robin
nlp
0
votes
Q: In NLP, Tokens are converted into numbers before giving to any Neural Network
asked
Sep 8, 2022
in
NLP using Python
by
Robin
nlp
token
0
votes
Q: In NLP, The process of converting a sentence or paragraph into tokens is referred to as Stemming
asked
Sep 8, 2022
in
NLP using Python
by
Robin
nlp
process
0
votes
Q: In NLP, The process of removing words like “and”, “is”, “a”, “an”, “the” from
asked
Sep 8, 2022
in
NLP using Python
by
Robin
nlp
process
0
votes
Q: In NLP, The algorithm decreases the weight for commonly used words and increases the weight for words that are not used very much in a collection of documents
asked
Sep 8, 2022
in
NLP using Python
by
Robin
nlp
algorithms
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