Natural Language Processing (NLP)
bag of words - answer representing a document through an unordered collection of the
words that occur in it
words have no relation to each other
Corpora - answer collections of linguistic data
discourse - answer paragraphs and documents
Grammar - answer
Keyword - answer
Lexemes - answer nouns, verbs, adjectives serve as roots for additional meaning
more than 1 word as in foreign phrases (ad hoc)
prepositions (along with)
idioms (follow up, on and off)
Machine learning - answerthe extraction of knowledge from data based on algorithms
created from training data
method that uses words independent from each other as feature when building a
statistical model
Morphemes - answerroots, prefixes, and suffixes
Morphology - answerCombining morphemes and to produce lexemes (words)
Named Entity Recognition (NER) - answeralso called named-entity normalization
identifying names of people or places, dates, numerical expression, or certain types of
terms in text which can then be mapped to canonical or standardized forms
Negation modifier - answerone of a modifier of interest- "no"
a different modifier would be temporal modifier (lasted 2 days)
Parse tree - answer
bag of words - answer representing a document through an unordered collection of the
words that occur in it
words have no relation to each other
Corpora - answer collections of linguistic data
discourse - answer paragraphs and documents
Grammar - answer
Keyword - answer
Lexemes - answer nouns, verbs, adjectives serve as roots for additional meaning
more than 1 word as in foreign phrases (ad hoc)
prepositions (along with)
idioms (follow up, on and off)
Machine learning - answerthe extraction of knowledge from data based on algorithms
created from training data
method that uses words independent from each other as feature when building a
statistical model
Morphemes - answerroots, prefixes, and suffixes
Morphology - answerCombining morphemes and to produce lexemes (words)
Named Entity Recognition (NER) - answeralso called named-entity normalization
identifying names of people or places, dates, numerical expression, or certain types of
terms in text which can then be mapped to canonical or standardized forms
Negation modifier - answerone of a modifier of interest- "no"
a different modifier would be temporal modifier (lasted 2 days)
Parse tree - answer
