Libraries tagged by sendivent

Sentiment is a sentiment classifier. It uses a model of words that are categorised as positive, negative or neutral, and a naive bayes algorithm to calculate sentiment. To improve accuracy, Sentiment removes 'noise' words.

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An eloquent package for adding sentiment to eloquent models.

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Sentient CMS Framework

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Sentiment analysis using the DatumBox API

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Sentiment analysis example built with PHP2xAI. The project demonstrates text preprocessing, embeddings, neural network training, and inference using the PHP frontend and C++ runtime. Sentiment labels are based on the RubixML Sentiment example and are fully acknowledged.

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Sentiment analyzer Package for Laravel Framework

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JigsawStack tools for the Laravel AI SDK - sentiment, summary, embedding, translation, web search, scraping, vision, audio, and validation

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Set of functionalities enable Arabic website developers to serve professional search, present and process Arabic content in PHP

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Sentiment analysis tool for PHP

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Sentiment analysis tool for PHP (Indonesia Language)

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A trait that can be included on eloquent models to utilize the Aylien text analysis php sdk

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Small php library for News-Api and Sentiment Analyis .

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PHP client for the finlight.me financial news API - search sentiment-scored, entity-tagged market news and verify finlight webhooks.

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Sentiment classifier for PHP

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PHP SDK for the APITube News API

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