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39 interview questions on Natural Language Processing - Fundamentalsfor developers (2025)

Test your technical skills before an interview of Natural Language Processing - Fundamentals with 39 corrected questions. Beginner, Intermediate or Expert level.

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39 questions
Easy
8 votes564 runs0 comment

What does NER mean?

Data Scientist
NLP (Natural language processing)
named entity recognition
nlp
Constantinat Mar 16, 2022
Easy
3 votes514 runs
2 comments

Tokenization is the process of separating text into words or groups of words.

Data Scientist
NLP (Natural language processing)
nlp
tokenization
Constantinat Sep 19, 2022
Easy
3 votes503 runs0 comment

What is the LDA used for?

Data Scientist
NLP (Natural language processing)
dimensionality reduction
topic modeling
Constantinat Mar 16, 2022
Easy
2 votes490 runs0 comment

Morphological segmentation is the process of separating words into individual morphemes and identifying their classes.

Data Scientist
NLP (Natural language processing)
segmentation
morphemes
Constantinat Mar 16, 2022
Hard
2 votes256 runs0 comment

Which principle implies that the meaning of a word is determined by the words that frequently appear in its neighboring context?

Data Scientist
NLP (Natural language processing)
Claudioat Jan 25, 2024
Easy
1 vote532 runs0 comment

Lemmatization of the term 'went'

Data Scientist
NLP (Natural language processing)
lemmatization
nlp
Constantinat Mar 16, 2022
Easy
1 vote515 runs0 comment

What is the difference between lemmatization and stemming?

Data Scientist
NLP (Natural language processing)
stemming
lemmatization
Constantinat Mar 16, 2022
Easy
1 vote479 runs0 comment

In what context could a sentimental analysis be the most useful?

Data Scientist
NLP (Natural language processing)
sentiment
nlp
Constantinat Mar 16, 2022
Easy
1 vote472 runs0 comment

Transfer learning is the use of a model trained on other data.

Data Scientist
NLP (Natural language processing)
models
data
Constantinat Mar 16, 2022
Medium
1 vote244 runs0 comment

What is a topic modeling in the context of Natural Language Processing?

Data Scientist
NLP (Natural language processing)
Claudioat Jan 25, 2024
Easy
1 vote152 runs0 comment

Co-reference resolution is the task of determining which words or groups of words refer to the same entity.

Data Scientist
NLP (Natural language processing)
coreference resolution
named entity recognition
Constantinat Mar 16, 2022
Easy
1 vote26 runs0 comment

What is the TF-IDF approach?

Data Scientist
NLP (Natural language processing)
Claudioat Jan 25, 2024
Medium
0 vote484 runs0 comment

How does cosine similarity work?

Data Scientist
NLP (Natural language processing)
similarity
cosine
Constantinat Mar 16, 2022
Medium
0 vote483 runs0 comment

What did the Transformer model bring to NLP compared to its predecessors (Glove, Fastest, Word2Vec)?

Data Scientist
NLP (Natural language processing)
word2vec
transformer
nlp
Constantinat Mar 16, 2022
Easy
0 vote479 runs0 comment

Word Sense Disambiguation (WSD) is an algorithm to choose the word that best matches the context.

Data Scientist
NLP (Natural language processing)
word sense disambiguation
disambiguation
Constantinat Mar 16, 2022
Medium
0 vote479 runs0 comment

What is the POS tag used for?

Data Scientist
NLP (Natural language processing)
part-of-speech
tagging
Constantinat Mar 16, 2022
Easy
0 vote477 runs0 comment

In which of the following areas, the application of NLP would not be useful?

Data Scientist
NLP (Natural language processing)
basket analysis
nlp
Constantinat Mar 16, 2022
Easy
0 vote477 runs0 comment

Word2Vect allows creating vectors from words

Data Scientist
NLP (Natural language processing)
word2vec
vectors
Constantinat Mar 16, 2022
Easy
0 vote470 runs0 comment

Which of the following algorithms is the most recent? BERT, GPT-3, or Transformer?

Data Scientist
NLP (Natural language processing)
BERT
NLP
Constantinat Mar 16, 2022
Easy
0 vote466 runs0 comment

What does BERT mean?

Data Scientist
NLP (Natural language processing)
language models
transformers
Constantinat Mar 16, 2022