Encoder, decoder and encoder-decoder transformers are a type of neural network currently at the bleeding edge in NLP. This article explains the difference between these architectures and what they...
The Natural Language Processing (NLP) Blog
Topic: Natural Language Processing
![Hidden Markov Model (HMM) For NLP Made Easy [How To In Python]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/01/hmm-nlp.jpg?fit=1024%2C576&ssl=1)
Hidden Markov Model (HMM) For NLP Made Easy [How To In Python]
What is a Hidden Markov Model in NLP? A time series of observations, such as a Hidden Markov Model (HMM), can be represented statistically as a probabilistic model. Natural language processing (NLP)...
Most Popular Deep Learning Algorithms For Natural Language Processing (NLP)
What is deep learning for natural language processing? Deep learning is a part of machine learning based on how the brain works, especially the neural networks that make up the brain. It requires...
What Is Neural Machine Translation? & 4 Easy Python Tools
Neural machine translation (NMT) is a state-of-the-art technique for translation. Our previous article on translating text in Python covered the two most common ways of getting started with...
NLP Transfer Learning Made Easy, Top 5 Models & How To Use Them
Transfer learning is explained, and the advantages and disadvantages are summed up. Types of transfer learning in NLP are summed up, and a list of the top models commonly used for transfer learning...
MinHash — How To Deal With Finding Similarity At Scale With Python Code To Get Started
What is MinHash? MinHash is a technique for estimating the similarity between two sets. It was first introduced in information retrieval to evaluate the similarity between documents quickly. The...
SimHash — The Ultimate Guide And How To Get Started Guide In Python
What is SimHash? Simhash is a technique for generating a fixed-length "fingerprint" or "hash" of a variable-length input, such as a document or a piece of text. It is similar to a hash function and...
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How To Implement Fuzzy String Matching [4 Ways In Python]
This article discusses one of the most valuable tools when analysing textual data in natural language processing — fuzzy string matching. We first discuss what it is, its typical applications and...
![How To Implement Abstractive Text Summarization In Python [2 Ways]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2022/12/summarization.jpg?fit=1024%2C576&ssl=1)
How To Implement Abstractive Text Summarization In Python [2 Ways]
Abstractive text summarization is a valuable tool in Python when working with large documents, or you quickly want to summarize data. In this article, we discuss applications of abstractive text...
Top 15 Most Popular Machine Learning And Deep Learning Algorithms For NLP
This list covers the top 7 machine learning algorithms and 8 deep learning algorithms used for NLP. If you are new to using machine learning algorithms for NLP, we suggest starting with the first...
Reinforcement Learning In NLP Made Simple & 5 Relevant Tools To Get Started
This article covers reinforcement learning and its application in natural language processing (NLP). It also covered the latest developments in the field, a discussion on whether you should start...
Top 14 Steps To Build A Complete NLTK Preprocessing Pipeline In Python
This is a complete guide on utilising NLTK to build a whole preprocessing pipeline. Take the time to read through the different components so you know how to start building your pipeline. What is an...
![How To Implement Bag-Of-Words In Python [2 Ways: scikit-learn & NLTK]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2022/12/bag-of-words.jpg?fit=960%2C540&ssl=1)
How To Implement Bag-Of-Words In Python [2 Ways: scikit-learn & NLTK]
In this guide, we cover how to start with the bag-of-words technique in Python. We first cover what a bag-of-words approach is and provide an example. We then cover the advantages and disadvantages...
![Text Classification: How To In Python [Best 2 Ways Machine Learning & Deep Learning]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2022/12/random-forest.jpg?fit=960%2C540&ssl=1)
Text Classification: How To In Python [Best 2 Ways Machine Learning & Deep Learning]
Text classification is an important natural language processing (NLP) technique that allows us to turn unstructured data into structured data; many different algorithms allow you to do this, and so...
Top 7 Ways To Implement Document & Text Similarity In Python: NLTK, Scikit-learn, BERT, RoBERTa, FastText and PyTorch
Text similarity is a really useful natural language processing (NLP) tool. It allows you to find similar pieces of text and has many real-world use cases. This article discusses text similarity, its...
Text Generation NLP – Everything You Need To Know / Python Code To Get Started
What is text generation in NLP? Text generation is a subfield of natural language processing (NLP) that deals with generating text automatically. It has a wide range of applications, including...
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How To Translate Text In Python [Best 2 Ways APIs & Libraries]
This guide covers how to translate text in Python. Machine translation is a prominent natural language processing (NLP) application that is not very straightforward. We start by covering what is...
Sentence Embedding More Powerful Than Word Embedding? What Is The Difference
What is sentence embedding? Sentence embedding is a technique for representing a natural language sentence as a fixed-length numerical vector. The goal is to encode the semantic meaning and content...
