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 ?
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
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.