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Tag: word2vec

Advancements in NLP in 2022

Introduction There have been many recent advances in natural language processing (NLP), including improvements in language models, better representation of the linguistic structure, advancements in...

Build Accurate Job Resume Matching Algorithm using Doc2Vec

Introduction to the Problem Hiring is one of the most challenging market segments to capture due to multiple reasons. One of the challenges faced during...

Top 5 NLP Cheat Sheets for Beginners to Professional

Image by Author  The Cheat sheets are essential in revising forgotten concepts or preparing for technical NLP interviews. It has helped me in the...

Top 50 NLP Interview Questions and Answers in 2023

Table of contents Top NLP Interview QuestionsNLP Interview Questions for FreshersNLP Interview Questions for Experienced13. Which of the following techniques can be used...

Fake News Classification Using Deep Learning

This article was published as a part of the Data Science Blogathon. Introduction Here’s a quick puzzle for you. I’ll give you two titles, and you’ll have to tell me which is fake. Ready? Let’s get started: “Adani Group is planning to explore investment in the EV sector.” “Wipro is planning to buy an EV-based startup.” […]

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Text Data Augmentation in Natural Language Processing with Texattack

This article was published as a part of the Data Science Blogathon. Introduction Data Augmentation (DA) Technique is a process that enables us to artificially increase training data size by generating different versions of real datasets without actually collecting the data. The data needs to be changed to preserve the class categories for better performance in […]

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Embedding Techniques on Text Data using KNN

This article was published as a part of the Data Science Blogathon. In this article, we will try to classify Food Reviews using multiple Embedded techniques with the help of one of the simplest classifying machine learning models called the K-Nearest Neighbor. Here is the agenda that will follow in this article. Objective Loading Data Data […]

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NLP Tutorials Part II: Feature Extraction

This article was published as a part of the Data Science Blogathon. Hey Folks! Welcome to the NLP from zero to advanced series on analytics Vidhya where we are covering all the NLP topics from beginner to the advanced level. In the last article, we have seen various text processing techniques with examples. If you haven’t […]

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Roadmap to Master NLP in 2022

This article was published as a part of the Data Science Blogathon. Introduction A few days ago, I came across a question on “Quora” that boiled down to: “How can I learn Natural Language Processing in just only four months?”. Then I began to write a brief response. Still, it quickly snowballed into a detailed explanation […]

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Transfer Learning for Image Recognition and Natural Language Processing

Read the second article in this series on Transfer Learning, and learn how to apply it to Image Recognition and Natural Language Processing.

Latent Semantic Analysis and its Uses in Natural Language Processing

This article was published as a part of the Data Science Blogathon Introduction Analyzing texts is far more complicated than analyzing typical tabulated data (e.g. retail...

Text Preprocessing Methods for Deep Learning

Text Preprocessing Methods for Deep Learning = Previous post Next post =>    Tags: Data Preprocessing, Data Processing, Deep Learning,...

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