What Are Embedding Models? At their core, embedding models are tools that convert complex data—such as words, sentences, images, or even audio—into numerical representations. More specifically, they...
The Natural Language Processing (NLP) Blog
Topic: Text Classification
Out-of-Distribution In Machine Learning Made Simple & How To Detect It
What is Out-of-Distribution Detection? Out-of-Distribution (OOD) detection refers to identifying data that differs significantly from the distribution on which a machine learning model was trained,...
Text Annotation Made Simple And 7 Popular Tools
What is Text Annotation? Text annotation is the process of labelling or tagging text data with specific information, making it more understandable and usable for machine learning models or other...
Out-of-Vocabulary (OOV) Words Explained & How To Handle Them In NLP Tasks
What are Out-of-Vocabulary (OOV) Words? In Natural Language Processing (NLP), Out-of-Vocabulary (OOV) words refer to any words a machine learning model has not encountered during its training phase....
Text Representation: A Simple Explanation Of Complex Techniques
What is Text Representation? Text representation refers to how text data is structured and encoded so that machines can process and understand it. Human language is inherently complex, filled with...
Precision And Recall In Machine Learning Made Simple: How To Handle The Trade-off
What is Precision and Recall? When evaluating a classification model's performance, it's crucial to understand its effectiveness at making predictions. Two essential metrics that help assess this...
Confusion Matrix: A Beginners Guide & How To Tutorial In Python
What is a Confusion Matrix? A confusion matrix is a fundamental tool used in machine learning and statistics to evaluate the performance of a classification model. At its core, a tablet lets you...
![Perplexity In NLP: Understand How To Evaluate LLMs [Practical Guide]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/08/perplexity-in-nlp-explained.jpg?fit=1920%2C1080&ssl=1)
Perplexity In NLP: Understand How To Evaluate LLMs [Practical Guide]
Introduction to Perplexity in NLP In the rapidly evolving field of Natural Language Processing (NLP), evaluating the effectiveness of language models is crucial. One of the key metrics used for this...
![Decision Trees In ML Complete Guide [How To Tutorial, Examples, 5 Types & Alternatives]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/05/decision-tree-example.jpg?fit=1200%2C675&ssl=1)
Decision Trees In ML Complete Guide [How To Tutorial, Examples, 5 Types & Alternatives]
What are Decision Trees? Decision trees are versatile and intuitive machine learning models for classification and regression tasks. It represents decisions and their possible consequences,...
Full-Text Search Explained, How To Implement & 6 Powerful Tools
What is Full-Text Search? Full-text search is a technique for efficiently and accurately retrieving textual data from large datasets. Unlike traditional search methods that rely on simple string...
Support Vector Machines (SVM) In Machine Learning Made Simple & How To Tutorial
What are Support Vector Machines? Machine learning algorithms transform raw data into actionable insights. Among these algorithms, Support Vector Machines (SVMs) stand out as a core algorithm for...
Classification Metrics In Machine Learning Explained & How To Tutorial In Python
What are Classification Metrics in Machine Learning? In machine learning, classification tasks are omnipresent. From spam detection in emails to medical diagnosis and sentiment analysis in social...
![Top 10 Most Useful Natural Language Processing (NLP) Tools [Libraries & Frameworks] LLMs Included](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/01/nlp-tools.jpg?fit=1200%2C675&ssl=1)
Top 10 Most Useful Natural Language Processing (NLP) Tools [Libraries & Frameworks] LLMs Included
What are Common Natural Language Processing (NLP) Tools? Natural Language Processing (NLP) tools are software components, libraries, or frameworks designed to facilitate the interaction between...
Universal Sentence Encoder Explained & How To TensorFlow Tutorial
What is a Universal Sentence Encoder? The Universal Sentence Encoder (USE) is a powerful tool in natural language processing (NLP) developed by Google. Its primary function is to transform textual...
Prototypical Networks Explained, Compared To Other Networks & How To Tutorial In PyTorch
What is a Prototypical Network? At its core, Prototypical Networks represent a groundbreaking approach to tackling the complexities of classification problems, especially in scenarios where labelled...
![What Is FastText? Compared To Word2Vec & GloVe [How To Tutorial In Python]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/12/continuous-bag-of-words-vs-skip-gram-1.jpg?fit=1200%2C675&ssl=1)
What Is FastText? Compared To Word2Vec & GloVe [How To Tutorial In Python]
What is fastText? fastText, a product of Facebook's AI Research (FAIR) team, represents a remarkable leap forward in natural language processing (NLP). This library, introduced in 2016, builds upon...
Linear Discriminant Analysis Made Simple & How To Tutorial In Python
What is Linear Discriminant Analysis (LDA)? Linear Discriminant Analysis (LDA) is a powerful technique in machine learning and statistics. It is primarily used for dimensionality reduction and...
![How To Implement Document Classification In Python [8 Machine Learning & Deep Learning Models]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/10/document-classification.png?fit=1200%2C675&ssl=1)
How To Implement Document Classification In Python [8 Machine Learning & Deep Learning Models]
Basics of Document Classification Document classification, or document categorization, is a fundamental natural language processing (NLP) task that categorizes text documents into predefined...
