Text Similarity

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…

10 months ago

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…

10 months ago

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…

12 months ago

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…

12 months ago

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…

12 months ago

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…

12 months ago

Mean Reciprocal Rank (MRR): How It Works [A Complete Guide]

What is Mean Reciprocal Rank (MRR)? Mean Reciprocal Rank (MRR) is a metric used to evaluate the effectiveness of information…

1 year ago

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…

1 year ago

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…

1 year ago

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…

1 year ago