Naukri Code 360
  • Learn
    • Guided paths

      A complete preparation guide to prepare for coding interviews in a structured manner

  • Contests & Events
    • Contest

      Participate to improve contest rating & standout

    • Challenges

      Participate in time based coding challenges to level up and win rewards

    • Events

      New stars

      Attend webinars, workshops & compete in coding events

  • Interview prep
    • Interview experiences

      Real life interview experiences of fresher & experienced candidates

    • Interview guide

      Interview bundle to prepare for most aspiring companies

    • Coding interview prep plan

      Prepare for upcoming interview with our daily coding plan

    • Videos

      Discover videos featuring expert advice and practical tips

  • Practice
    • Interview problem

      Practice with real coding interview questions

    • Web development projects & problems

      Build impressive web development projects for a standout resume

    • Problem of the day

      Solve today’s problem—see top solutions, appear in leaderboard

    • Popular problems list

      Curated coding problem lists for cracking interviews at aspiring companies

    • Mock test series

      Practice for real interview screening rounds by taking mock tests

  • Resources

      Community

    • Campus

      Connect with friends, seniors & alumni from your campus.

    • Public discussions

      Connect with coders across the globe & discuss on various topics.

    • Knowledge center

    • Library

      Well thought articles on coding for all levels

    • Online IDE

      See all compilers
      compiler-redirection-icon
    • C compiler

    • Javascript compiler

    • C++ compiler

    • Python compiler

    • Java compiler

    • Ruby compiler

Naukri Logo
potd-icon

Become AI ready

Login
polygon-arrow
home
Naukri Code 360
expand-more
Library
expand-more
Natural Language Processing
expand-more
Semantics
Browse Categories
Last updated: Feb 28, 2022

Semantics

Share:
In a corpus of words and sentences, it may be difficult to extract a sequence of structured phrases that can be further analysed and used in Natural Language Processing applications; thus, we employ Semantic Analysis. This is also done with the Lexical database, which is linked to WordNet. Learn about its implementation and the various methods available.
Lexical Semantics EASY
This article will study semantic analysis with a detailed discussion about lexical semantics. Lastly, we will explore the significance of semantic analysis.
Author Mayank Goyal
0 upvotes
WordNet in NLP EASY
In this article, what is Wordnet in NLP.
Author Taneesh Kaushik
0 upvotes
Word Sense Disambiguation EASY
In this article, we will learn about WSD, its applications, difficulties faced, different methods to implement WSD and lastly we implemented the same.
Author Mayank Goyal
0 upvotes
Synonyms/Antonyms using WordNet EASY
In this blog, we’ll learn how to generate synonyms and antonyms of a word using WordNet.
Author Chaturvedi
0 upvotes
Library:
Java
Python
C Programming Language
C++ Programming Language
Cloud Computing
Node JS
Machine Learning
Deep Learning
Big Data
Operating System
Go Language
C#
Ruby
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Data Warehousing
Internet of Things
Get the tech career you deserve faster with Coding Ninjas courses
User rating 4.7/5
1:1 doubt support
95% placement record
Our courses
Follow us on
Contact us
1800-123-3598
code360@codingninjas.com
Download the naukri app