64 Natural language processing interview questions and answers

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What is NLP(natural language processing) ?

What is applications of NLP ?

What is tokenization ?

What is stemming ?

What is lemmatizing ?

What is Normalization ?

What is POS (parts of speech) tagging ?

What is NER (name entitry recognition)?

What are nlp libraries and tools ?

  • CoreNLP from Stanford group.
  • NLTK, the most widely-mentioned NLP library for Python.
  • TextBlob, a user-friendly and intuitive NLTK interface.
  • Gensim, a library for document similarity analysis.
  • SpaCy, an industrial-strength NLP library built for performance.

What are stop words ?

What are punctuation’s ? How can you remove it ?

What is Noise Removal ?

What is Wordnet ?

How can you find synonyms and antonyms for a word ?

What is NLG (Natural language Generation) ?

What is NLU (Natural language understanding) ?

What is Corpus ?

What is N- Gram, Unigram, Bigram  and Trigram?

What is Language modeling ?

What is Latent semantic analysis ?

What is word embedding ?

What are word embedding libraries ?

  • Word2vec
  • Glove
  • Fasttext
  • genism

What is word2vec ?

What is Glove ?

What is Fasttext ?

What is Genism ?

What is text mining ?

What is Information Extraction ?

What is object standardization ? When it will be used ?

What is text generation ? When we will do it ?

What is text summarization ? When we will do it ?

What is Topic Modeling ? When we will do it ?

What is sentiment analysis ? When we will do it ?

What Term frequency(TF) ?

What is Inverse term frequency (IDF) ?

What is difference between NLTK and Spacy ?

What is difference between OpenNLP and NLTK ?

What is sequence modeling ? How it’s helpful in NLP ?

What is dependency parsing  ?

What is semantic parsing ?

What is constituency parsing ?

What is difference between shallow parsing and dependency parsing ?

How does the PageRank algorithm work?

What is Differentiate regular grammar and regular expression.

How will you estimate the entropy of the English language?

What is bagofwords model ?

What is cosine distance ?

What is doc2vec model ?

What is CBOW( continuous bag of words )

What is Skip-gram ?

What are models to reduce dimensionality of data in nlp

Latent Dirichlet Allocation

Latent Semantic Indexing

Keyword Normalization

What is document-term matrix ?

A document-term matrix or term-document matrix is a mathematical matrix that describes the frequency of terms that occur in a collection of documents.

What is pragmatic analysis in NLP?

How can you find word similarity in nlp ?

How can you find sentence similarity in nlp ?

How can you find document similarity in nlp ?

What is NLP usage in recommendation engines ?

What are conditional random fields ?

What are hidden markov fields ?

What is Naive bayes algorithm, When we can use this algorithm in NLP ?

What is Text Matching / Similarity techniques ?

  • Levenshtein Distance
  • Phonetic Matching
  • Flexible String Matching
  • Cosine Similarity

What is Coreference Resolution ?

What is Ambiguity in NLP ?

Explain about one project you have done in Nlp from start to ending.

 

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