100% satisfaction guarantee Immediately available after payment Both online and in PDF No strings attached
logo-home
Natural Language Processing (AI) Questions and Answers 100% Accurate $13.99   Add to cart

Exam (elaborations)

Natural Language Processing (AI) Questions and Answers 100% Accurate

 1 view  0 purchase
  • Course
  • Institution

Natural Language Processing (AI)

Preview 2 out of 5  pages

  • October 31, 2024
  • 5
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
avatar-seller
Natural Language Processing (AI)

Natural Language Processing - answeris a way for computers to analyze, understand,
and derive meaning from human language in a smart and useful way.

NLP Goal - answerto create computers/systems that can understand human language
and communicate with humans in a natural way.

NLP Use Cases - answer- spam detection
- language translation
- virtual agents and chatbots

NLP Use Cases - answer- Text Classification
- Language Modeling
- Speech Recognition
- Document Summarization and Question Answering
- Machine Translation
- Caption Generation

Topic Modeling - answera technique used to discover prominent and underlying topics
within a collection of documents without any prior knowledge or labeled examples.

Model - answermathematical representation of the learning that has been acquired

Fundamentals of Linguistics - answer- Syntax
- Semantics
- Pragmatics

Syntax - answerstudies sentence structure and the rules governing how words combine
to form meaningful expressions

Semantics - answerfocuses on the study of meaning in language. It explores how
words, phrases, and sentences convey information and represent concepts

Pragmatics - answerdeals with how language is used in context and how the speaker,
the listener, and the surrounding situation influence meaning

Supervised Learning - answer- trained on labeled dataset
- output is predicted by the supervised learning model
- predict outcomes for new data
- Regression and classification tasks

Unsupervised Learning - answer- trained on unlabeled texts

, - hidden patterns are discovered using the unsupervised model
- Finding useful insights, hidden patterns from the unknown dataset.
- Clustering and association tasks

Supervised Learning - answeris so named because the data scientist acts as a guide to
teach the algorithm what conclusions it should come up with.

Text Classification - answeraka Text Categorization, is the activity of labeling natural
language texts with relevant categories from a predefined set.

POS Tagging - answeris a process of assigning a part of speech or lexical class marker
to each word in a sentence (and all sentences in a corpus).

Parsing - answerAnalyzing the grammatical structure of a sentence and identifying its
constituent parts.

Parts-of-speech Tagging - answerMeaning of the POS Tagging acronym.

Named Entity Recognition (NER) - answeris to process a text and identify named
entities in a sentence. Named entities are specific pieces of information, such as names
of people, organizations, locations, dates, and more.

Word sense disambiguation - answerDetermining the correct meaning of a word based
on its context

Types of Classification - answer- Binary
- Multiclass and Multi-label

Binary Classification - answerclassifying data into two mutually exclusive groups or
categories

Multiclass and Multi-label Classification - answerreviewing textual data and assigning
one (single label) or more (multi) labels to the textual data.

Text Summarization - answerAutomatically generating a summary of a text that
captures the most important information.

Natural Language Generation - answerUsing computer algorithms to automatically
generate natural language text, such as news articles or product descriptions

Text Classification Application - answer1. Language Detection
2. Sentiment Analysis
3. Spam Filtering
4. Email Routing

Dataset - answerA ________ to provide examples for training the classifier.

The benefits of buying summaries with Stuvia:

Guaranteed quality through customer reviews

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

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

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

Start selling
$13.99
  • (0)
  Add to cart