Text Similarity

What Is Semantic Search & How To Implement [Python, BERT, Elasticsearch]

What is semantic search? Semantic search is an advanced information retrieval technique that aims to improve the accuracy and relevance…

2 years ago

Vector Space Model Made Simple With Examples & Tutorial In Python

What is a Vector Space Model? The Vector Space Model (VSM) is a mathematical framework used in information retrieval and…

2 years ago

Latent Semantic Analysis: A Complete Guide With Alternatives & Python Tutorial

What is Latent Semantic Analysis (LSA)? Latent Semantic Analysis (LSA) is used in natural language processing and information retrieval to…

2 years ago

Top 6 Name Matching Algorithm, How To Scale Your Solution & Tutorial In Python

What is fuzzy name matching? A fuzzy name matching algorithm, or approximate name matching, is a technique used to compare…

2 years ago

Latent Dirichlet Allocation (LDA) Made Easy And Top 3 Ways To Implement In Python

Latent Dirichlet Allocation explained Latent Dirichlet Allocation (LDA) is a statistical model used for topic modelling in natural language processing.…

2 years ago

Tutorial TF-IDF vs Word2Vec For Text Classification [How To In Python With And Without CNN]

Word2Vec for text classification Word2Vec is a popular algorithm used for natural language processing and text classification. It is a…

3 years ago

Fuzzy Logic Made Easy — Its Application In AI, Machine Learning & Natural Language Processing (NLP)

What is fuzzy logic? Fuzzy logic is a mathematical approach to reasoning about uncertain or vague information. Rather than the…

3 years ago

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…

3 years ago

Local Sensitive Hashing (LSH)— Complete Guide & How To Get Started In Python

What is local sensitive hashing? A technique for performing a rough nearest neighbour search in high-dimensional spaces is called local…

3 years ago

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…

3 years ago