Natural Language Processing (NLP) Interview Questions

Below are few Frequently Asked NLP Interview Questions

#1 What is NLP?

Natural Language Processing or NLP is an automated way to understand or analyze the natural languages and extract required information from such data by applying machine learning Algorithms.

#2 What is latent semantic indexing? Where it is applied.

#3 List some Components of NLP?

Below are the few major components of NLP.

  • Entity extraction: It involves segmenting a sentence to identify and extract entities, such as a person (real or fictional), organization, geographies, events, etc.
  • Syntactic analysis: It refers to the proper ordering of words.
  • Pragmatic analysis: Pragmatic Analysis is part of the process of extracting information from text.

#4 List some tools for training NLP models?

#5 Explain Named entity recognition (NER)?

#6 What is NLTK?


#7 Define the NLP Terminology?

NLP Terminology is based on the following factors:

  • Weights and Vectors: TF-IDF, length(TF-IDF, doc), Word Vectors, Google Word Vectors
  • Text Structure: Part-Of-Speech Tagging, Head of sentence, Named entities
  • Sentiment Analysis: Sentiment Dictionary, Sentiment Entities, Sentiment Features
  • Text Classification: Supervised Learning, Train Set, Dev(=Validation) Set, Test Set, Text Features, LDA.
  • Machine Reading: Entity Extraction, Entity Linking,dbpedia, FRED (lib) / Pikes

#8 Differentiate regular grammar and regular expression.

#9 What is latent semantic indexing and where can it be applied?

#10 What is Lemmatization in NLP?

#11 Explain dependency parsing in NLP?

Dependency Parsing is also known as Syntactic Parsing. It is the task of recognizing a sentence and assigning a syntactic structure to it. The most widely used syntactic structure is the parse tree which can be generated using some parsing algorithms. These parse trees are useful in various applications like grammar checking or more importantly it plays a critical role in the semantic analysis stage.

#12 Describe dependency parsing?


#13 List some areas of NLP?

Natural Language Processing can be used for

  • Semantic Analysis
  • Automatic summarization
  • Text classification
  • Question Answering

Some real-life example of NLP is IOS Siri, the Google assistant, Amazon echo.

#14 What is the difference between NLP and NLU?

#15 List some OpenSource Libraries for NLP?

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