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What important stage is missing in the text mining process:
texts -- feature generation - feature selection - pattern discovery - evaluation
educes the words to their initial/ canonical form in the dictionary. For this, it’s required to know the grammatical function (i.e.,
verb, noun, adjective) of the word to solve the inflection.
Suppose that you want to group written customer complaints, according to some mathematical measure of closeness (i.e., cosine similarity), which allows understanding how such information is related. What method will you use?
____________ is an AI area that provides computational techniques allowing a computer to learn how to perform a task based on experience.
..._______ is a machine learning task that searches for patterns that haven’t been previously detected in a dataset without preexisting exit tags and with minimal human supervision.
Sentiment analysis is a/an __________ method
____________ provides theories, models, and methods so that a computer can understand human language (written or spoken) at different linguistic levels (i.e., phonetic, morphological, lexicon, syntactic, semantic, discursive, and pragmatic).
_____ is a linguistic resource consisting of a large set of texts or documents, which are used to perform statistical analysis, hypothesis testing, revision of the occurrence of linguistic rules, etc.
_____ is a practice and result of adding “notes” or electronic glosses to a text, which may include highlights, linguistic purpose tags, links, etc.
................. include texts, documents, social media posts, customer feedback.