Exam (elaborations)
Natural Language Processing Questions Latest Updated 2024
- Course
- Institution
Natural Language Processing Questions
[Show more]
Seller
Follow
julianah420
Reviews received
Content preview
Natural Language Processing Questionslatent semantic analysis (LSA) - answer One of the foundational methods in topic
modeling. The core idea is to take a matrix of what we have — documents and terms —
and decompose it into a separate document-topic matrix and a topic-term matrix.
(Part of speech) POS tagging - answer Labeling words with their appropriate POS (i.e
nouns, verbs, etc...)
Chunking - answer Chunking is a process of extracting phrases from unstructured text.
Instead of just simple tokens which may not represent the actual meaning of the text, its
advisable to use phrases such as "South Africa" as a single word instead of 'South' and
'Africa' separate words.
Chunking works on top of POS tagging, it uses pos-tags as input and provides chunks
as output. Similar to POS tags, there are a standard set of Chunk tags like Noun
Phrase(NP), Verb Phrase (VP), etc. Chunking is very important when you want to
extract information from text such as Locations, Person Names etc. In NLP called
Named Entity Recognition.
Natural Language Toolkit (NLTK) - answer A suite of libraries and programs for
symbolic and statistical NLP for English written in the Python programming language.
word sense disambiguation - answer An open problem in NLP regarding the ambiguity
which arises due to different meaning of words in different context.
parsing - answer In this sense, syntactic analysis or parsing may be defined as the
process of analyzing the strings of symbols in natural language conforming to the rules
of formal grammar.
crash blossom - answerA newspaper headline in which some of the words have more
than one possible meaning so that it can be understood in more than one way, often
humorously. This type of ambiguity makes NLP difficult.
word sense ambiguity - answerWord sense ambiguity means a single word or. sentence
is interpreted differently by different users. The main reason for this is that a single.
word has more than one meaning (exact meaning. depends on the context).
regular expression - answerA formal language for specifying text strings. For example
lets say we are looking for woodchucks in a text document. Woodchucks can be
expressed in a few different ways, for example: Woodchuck, Woodchucks, woodchuck,
woodchucks.
The benefits of buying summaries with Stuvia:
Guaranteed quality through customer reviews
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller julianah420. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $13.99. You're not tied to anything after your purchase.
Can Stuvia be trusted?
4.6 stars on Google & Trustpilot (+1000 reviews)
84866 documents were sold in the last 30 days
Founded in 2010, the go-to place to buy study notes for 14 years now