What is Part-of-speech (POS) tagging? Part-of-speech (POS) tagging is fundamental in natural language processing (NLP) and can be done in Python. It involves labelling words in a sentence with their...
The Natural Language Processing (NLP) Blog
Topic: Data Science
Top 5 Ways To Implement Question-Answering Systems In NLP & A List Of Python Libraries
What is a question-answering System? Question answering (QA) is a field of natural language processing (NLP) and artificial intelligence (AI) that aims to develop systems that can understand and...
The Curse Of Variability In Machine Learning And How To Overcome It
What is the curse of variability? The curse of variability refers to the idea that as the variability of a dataset increases, the difficulty of finding a good model that can accurately predict...
Top 6 Most Popular Text Clustering Algorithms And How They Work Explained
What exactly is text clustering? The process of grouping a collection of texts into clusters based on how similar their content is is known as text clustering. Text clustering combines related...
Opinion Mining — Top 8 Useful Tools More Than Sentiment Analysis
Opinion mining is a field that is growing quickly. It uses natural language processing and text analysis to gather subjective information from sources. The main goal of opinion mining is to find and...
Tutorial On How To Implement Document Clustering In Python With K-means
Introduction to document clustering and its importance Grouping similar documents together in Python based on their content is called document clustering, also known as text clustering. This...
How To Use One Hot Encoding In Python With 3 Tutorials
Categorical variables are variables that can take on one of a limited number of values. These variables are commonly found in datasets and can't be used directly in machine learning models as most...
![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)...
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...
![How To Implement Fuzzy String Matching [4 Ways In Python]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/01/fuzzy-logic-hot-cold.jpg?fit=1024%2C1024&ssl=1)
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 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 Sentiment Analysis In Python [Best 5 Tools: TextBlob, Vader, NLTK, BERT, SpaCy]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2022/12/sentiment.jpg?fit=1024%2C576&ssl=1)
How To Implement Sentiment Analysis In Python [Best 5 Tools: TextBlob, Vader, NLTK, BERT, SpaCy]
Several powerful libraries and frameworks in Python can be used for sentiment analysis. These libraries will be covered below. The code examples of using the various libraries will be covered at the...
How To Get Started With Topic Modelling In Python— ML And Deep Learning Algorithms
What is topic modelling? Topic modelling is a technique used in natural language processing (NLP) to automatically identify and group similar words or phrases in a text. This lets us figure out the...
![How To Implement Keyword Extraction [3 Ways In Python With NLTK, SpaCy & BERT]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2022/12/POS-tagging.jpg?fit=960%2C540&ssl=1)
How To Implement Keyword Extraction [3 Ways In Python With NLTK, SpaCy & BERT]
What is Keyword extraction? Keyword extraction is figuring out which words and phrases in a piece of text are the most important. These keywords can be used to summarise the content of the text. A...
How To Implement A Self-Learning System That Improves Over Time
What is a self-learning system? A self-learning system is a type of artificial intelligence (AI) system that is able to improve its performance over time. In essence, it can do this without the need...
The Curse Of Dimensionality, When It Occurs And How To Overcome It
What is the curse of dimensionality? When dealing with high-dimensional data, several issues are known as the "Curse of Dimensionality." A dataset's quantity of attributes or features is called the...
Self-Learning AI – Building More Powerful Machine Learning Applications
What is self-learning AI? Self-learning AI or Artificial intelligence agents or self-learning systems can continuously learn new information. They can learn further information without the aid of...
