What is a Content-Based Recommendation System? A content-based recommendation system is a sophisticated breed of algorithms designed to understand and cater to individual user preferences by...
![How To Build Content-Based Recommendation System Made Easy [Top 8 Algorithms & Python Tutorial]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/11/content-based-recommendation-system.jpg?fit=1200%2C675&ssl=1)
The Natural Language Processing (NLP) Blog
Topic: Text Similarity
![How To Implement Inverted Indexing [Top 10 Tools & Future Trends]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/10/inverted-index.png?fit=1200%2C675&ssl=1)
How To Implement Inverted Indexing [Top 10 Tools & Future Trends]
Inverted index in information retrieval In the world of information retrieval and search technologies, inverted indexing is a fundamental concept pivotal in transforming a seemingly chaotic sea of...
![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...
Document Retrieval Made Simple & Practical How To Guide In Python
What is document retrieval? Document retrieval is the process of retrieving specific documents or information from a database or a collection of documents. It's fundamental in information retrieval,...
![What Is Semantic Search & How To Implement [Python, BERT, Elasticsearch]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/10/semantic-search.jpg?fit=960%2C540&ssl=1)
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 of search results by understanding the context and meaning of...
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 natural language processing (NLP) to represent and analyze textual data. It's...
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 analyze word relationships in a large text corpus. It is a...
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 and match names with slight differences, variations, or errors. It is...
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. It is a generative probabilistic model that...
![Tutorial TF-IDF vs Word2Vec For Text Classification [How To In Python With And Without CNN]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/02/word2vec-text-classification.jpg?fit=1024%2C576&ssl=1)
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 neural network-based approach that learns distributed...
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 traditional binary true or false values found in classical logic, it is...
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...
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 sensitive hashing (LSH). It operates by mapping...
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...
SimHash — The Ultimate Guide And How To Get Started Guide In Python
What is SimHash? Simhash is a technique for generating a fixed-length "fingerprint" or "hash" of a variable-length input, such as a document or a piece of text. It is similar to a hash function and...
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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...
Top 7 Ways To Implement Document & Text Similarity In Python: NLTK, Scikit-learn, BERT, RoBERTa, FastText and PyTorch
Text similarity is a really useful natural language processing (NLP) tool. It allows you to find similar pieces of text and has many real-world use cases. This article discusses text similarity, its...
