Libraries tagged by text similarity api

NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, grammar and spelling correction, keywords and keyphrases extraction, chatbot, product description and ad generation, intent classification, text generation, image generation, code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, speech synthesis, embeddings, and dependency parsing. It is ready for production, served through a REST API. This is the PHP client for the API. More details here: https://nlpcloud.com. Documentation: https://docs.nlpcloud.com. Github: https://github.com/nlpcloud/nlpcloud-php

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PHP Interface for Babel Street Text Analytics

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Local text embeddings via PHP FFI, powered by embedding.cpp. No Python, no API calls, no external services at runtime.

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Text Similarity compares two text strings and calculates their percentage match score. It returns case-insensitive and case-sensitive similarity scores plus the count and proportion of differing words.

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Levenshtein Distance calculates the minimum number of single-character edits needed to transform one string into another.

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