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Tag Archives: Natural-language-processing

Word sense disambiguation (WSD)  in Natural Language Processing (NLP) is the problem of identifying which “sense” (meaning) of a word is activated by the use… Read More
In Natural Language Processing (NLP), word sense disambiguation (WSD) is the challenge of determining which “sense” (meaning) of a word is activated by its use… Read More
Neural Machine Translation (NMT) is a standard task in NLP that involves translating a text from a source language to a  target language. BLEU (Bilingual… Read More
In this article, we are going to see how we can perform the Twitter sentiment analysis on Russia-Ukraine War using Python. The role of social… Read More
This article aims to implement Document Classification using Naïve Bayes using python. Step wise Implementation: Step-1: Input the total Number of Documents from the user.… Read More
Sentiment Analysis for Indic Language:   This article exhibits how to use the library VADER  for doing the sentiment analysis of the Indic Language’Hindi’.  … Read More
Google created a transformer-based machine learning approach for natural language processing pre-training called Bidirectional Encoder Representations from Transformers. It has a huge number of parameters,… Read More
In this article, we are going to see Pre-trained Word embedding using Glove in NLP models using Python. Word embedding In NLP models, we deal… Read More
Natural Language Processing (NLP) has been done by the human brain for ages and is now being done by computers since the 1950s. If you… Read More
Introduction to Semantic Analysis Semantic Analysis is a subfield of Natural Language Processing (NLP) that attempts to understand the meaning of Natural Language. Understanding Natural… Read More
Preprocessing is the major part of Natural Language Processing. In order to classify any text with high accuracy, cleaned data plays a major role. So,… Read More
The goal of contrastive learning is to learn such embedding space in which similar samples are close to each other while dissimilar ones are far… Read More
Pre-requisite: BERT-GFG BERT stands for Bidirectional Representation for Transformers. It was proposed by researchers at Google Research in 2018. Although, the main aim of that… Read More
Natural language processing (NLP) is a subfield of Artificial Intelligence (AI). This is a widely used technology for personal assistants that are used in various… Read More
In this article, we are going to learn about Transformers. We’ll start by having an overview of Deep Learning and its implementation. Moving ahead, we… Read More

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