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39 interview questionsfor developers (2025)

Test your developer skills before an interview with 39 corrected questions on 80+ topics. Beginner, Intermediate or Expert level.

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39 questions
Easy
8 votes580 runs0 comment

What does NER mean?

Data Scientist
NLP (Natural language processing)
named entity recognition
nlp
Constantinat Mar 16, 2022
Easy
3 votes529 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 votes518 runs0 comment

What is the LDA used for?

Data Scientist
NLP (Natural language processing)
dimensionality reduction
topic modeling
Constantinat Mar 16, 2022
Hard
3 votes272 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
2 votes505 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
Medium
2 votes258 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
2 votes157 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 vote547 runs0 comment

Lemmatization of the term 'went'

Data Scientist
NLP (Natural language processing)
lemmatization
nlp
Constantinat Mar 16, 2022
Easy
1 vote530 runs0 comment

What is the difference between lemmatization and stemming?

Data Scientist
NLP (Natural language processing)
stemming
lemmatization
Constantinat Mar 16, 2022
Easy
1 vote493 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 vote491 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
1 vote485 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
Easy
1 vote164 runs0 comment

NLP polarity is the tendency for a word to be positive or negative.

Data Scientist
NLP (Natural language processing)
sentiment analysis
polarity
Constantinat Mar 16, 2022
Easy
1 vote27 runs0 comment

What is the TF-IDF approach?

Data Scientist
NLP (Natural language processing)
Claudioat Jan 25, 2024
Medium
0 vote498 runs0 comment

How does cosine similarity work?

Data Scientist
NLP (Natural language processing)
similarity
cosine
Constantinat Mar 16, 2022
Medium
0 vote497 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 vote493 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 vote491 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 vote491 runs0 comment

Word2Vect allows creating vectors from words

Data Scientist
NLP (Natural language processing)
word2vec
vectors
Constantinat Mar 16, 2022
Easy
0 vote483 runs
1 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