Category: NLP

Getting Started with Natural Language Processing using Python

Why NLP? Natural Language Processing has always been a key tenet of Artificial Intelligence (AI). With the increase in the…

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Similarity Metrics in NLP

This post covers the use of euclidean distance, dot product, and cosine similarity as NLP similarity metrics.

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Natural Language Processing (NLP) in Excel

A very simple way to make excel understand what you want from data. For example how many products were sold,…

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Learn Neural Networks for Natural Language Processing Now

Still haven’t come across enough quality contemporary natural language processing resources? Here is yet another freely-accessible offering from a top-notch…

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Why Transformer Model for Natural Language Processing?

A transformer is a new type of neural network architecture. What’s grabbing eyeballs is that it has brought in improvements in efficiency…

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How to Use Google’s NLP API to Analyze and Produce Better Content

Machine learning has revolutionized the way content marketers create content. It gave deep insights into what actually the search engine…

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ENCONTER: Entity Constrained Insertion Transformer Language modeling

Language modeling is one of the interesting machine learning problems. Some recent language modeling tasks that find remarkable improvement include…

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Applying Natural Language Processing in Healthcare

New advances in natural language processing (NLP) based on deep learning and transfer learning have made a whole set of…

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Parts of Speech Tag and Dependency Grammer

Natural language processing is a branch of machine learning that deals with how machines understand human languages. Text data is…

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ML and NLP Research Highlights of 2020

This post summarizes progress in 10 exciting and impactful directions in ML and NLP in 2020.

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Salesforce researchers release framework to test NLP model robustness

In the subfield of machine learning known as natural language processing (NLP), robustness testing is the exception rather than the…

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Transformers Library | NLP Functionalities using Transformers Library

In this tutorial, you will learn how you can integrate common Natural Language Processing (NLP) functionalities into your application with…

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Practical text generation using GPT-2, LSTM and Markov Chain

Natural Language Generation (NLG) or Text Generation is a subfield of Natural Language Processing (NLP). Its goal is to generate…

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Best NLP-based SEO Tools For 2021

one key area that has witnessed a massive revolution with natural language processing (NLP) is the search engine optimisation. We all remember…

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Top Rated MOOCs For Learning Natural Language Processing

NLP has made several ground-breaking achievements in the past couple of years. In the current scenario, almost all organisations use…

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Multilingualism in Natural Language Processing: Targeting Low Resource Indian Languages

A language is a systematic form of communication that can take a variety of forms. There are approximately 7,000 languages…

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