Introduction Imagine trying to understand what someone said over a noisy phone call or deciphering a DNA sequence from partial biological data. In both cases, you're trying to uncover a hidden...
![Viterbi Algorithm Made Simple [How To & Worked-Out Examples]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2025/06/viterbi-algorithm-example.jpg?fit=330%2C348&ssl=1)
The Natural Language Processing (NLP) Blog
Topic: Natural Language Processing
Structured Prediction In Machine Learning: What Is It & How To Do It
What is Structured Prediction? In traditional machine learning tasks like classification or regression a model predicts a single label or value for each input. For example, an image classifier might...
NLP And Edge Computing: How It Works & Top 7 Technologies for Offline Computing
In the age of digital transformation, Natural Language Processing (NLP) has emerged as a cornerstone of intelligent applications. From chatbots and voice assistants to real-time translation and...
![Anomaly Detection In LLM Responses [How To Monitor & Mitigate]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/11/types-of-anomalies-llms.jpg?fit=1200%2C675&ssl=1)
Anomaly Detection In LLM Responses [How To Monitor & Mitigate]
What is Anomaly Detection in LLMs? Anomaly detection in the context of Large Language Models (LLMs) involves identifying outputs, patterns, or behaviours that deviate significantly from what is...
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...
How To Process Text In Python With Pandas Made Simple
Introduction Text data is everywhere—from social media posts and customer reviews to emails and product descriptions. For data scientists and analysts, working with this unstructured form of data...
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...
METEOR Metric In NLP: How It Works & How To Tutorial In Python
What is the METEOR Score? The METEOR score, which stands for Metric for Evaluation of Translation with Explicit ORdering, is a metric designed to evaluate the text quality generated by machine...
BERTScore – A Powerful NLP Evaluation Metric Explained & How To Tutorial In Python
What is BERTScore? BERTScore is an innovative evaluation metric in natural language processing (NLP) that leverages the power of BERT (Bidirectional Encoder Representations from Transformers) to...
![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...
BLEU Score In NLP: What Is It & How To Implement In Python
What is the BLEU Score in NLP? BLEU, Bilingual Evaluation Understudy, is a metric used to evaluate the quality of machine-generated text in NLP, most commonly in machine translation. Kishore...
ROUGE Metric In NLP: Complete Guide & How To Tutorial In Python
What is the ROUGE Metric? ROUGE, which stands for Recall-Oriented Understudy for Gisting Evaluation, is a set of metrics used to evaluate the quality of summaries and translations generated by...
Ultimate Guide To Data Structure Hashing With How To Tutorial In Python
What is Hashing? Hashing is used in computer science as a data structure to store and retrieve data efficiently. At its core, hashing involves taking an input (or "key") and running it through a...
Naive Bayes Classification Made Simple & How To Tutorial In Python
What is Naive Bayes? Naive Bayes classifiers are a group of supervised learning algorithms based on applying Bayes' Theorem with a strong (naive) assumption that every feature in the dataset is...
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...
![Co-occurrence Matrices Explained: How To Use Them In NLP, Computer Vision & Recommendation Systems [6 Tools]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/04/co-occurance-matrix.jpg?fit=1200%2C675&ssl=1)
Co-occurrence Matrices Explained: How To Use Them In NLP, Computer Vision & Recommendation Systems [6 Tools]
What are Co-occurrence Matrices? Co-occurrence matrices serve as a fundamental tool across various disciplines, unveiling intricate statistical relationships hidden within data. Whether in natural...
![Query Understanding In NLP Simplified & How It Works [5 Techniques]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/04/query-understanding.jpg?fit=1200%2C675&ssl=1)
Query Understanding In NLP Simplified & How It Works [5 Techniques]
What is Query Understanding? Understanding user queries lies at the heart of efficient communication between humans and machines in the vast digital information and interaction landscape. Query...
