Jul 23, 2025 · In this article we understood semantic similarity and its application. We saw the architecture of top 4 sentence embedding models used for semantic similarity calculation of …

Dec 8, 2020 · Most of there libraries below should be good choice for semantic similarity comparison. You can skip direct word comparison by generating word, or sentence vectors …

Dec 19, 2022 · 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 …

Oct 8, 2019 · This project contains an interface to fine-tuned, BERT-based semantic text similarity models. It modifies pytorch-transformers by abstracting away all the research benchmarking …

Apr 28, 2025 · Semantic similarity is measured in a sentence by the cosine distance between the two embedded vectors. While many think this calculation is complex, creating the word or …

For Semantic Textual Similarity (STS), we want to produce embeddings for all texts involved and calculate the similarities between them. The text pairs with the highest similarity score are …

Jun 12, 2025 · This guide shows you how to implement transformer-based text similarity comparison using Python, with practical examples and performance optimization techniques. …

Mar 21, 2023 · This article covers at a very high level what semantic similarity is and demonstrates a quick example of how you can take advantage of open-source tools and pre …

May 12, 2025 · A Python implementation of various semantic and syntactic similarity algorithms for words, phrases, and documents. This project explores WordNet-based similarity metrics, …

Dec 5, 2024 · In the realm of Natural Language Processing (NLP), determining the degree of similarity between two documents is a crucial task. There are various methodologies to …