Libraries tagged by text analysis

PHP Text Analysis is a library for performing Information Retrieval (IR) and Natural Language Processing (NLP) tasks using the PHP language

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Text analysis application for use with the Real-Time SEO Drupal module.

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PHP Text Analysis is a library for performing Information Retrieval (IR) and Natural Language Processing (NLP) tasks using the PHP language

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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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An example project using a multi layer feed forward neural network for text sentiment classification trained with 25,000 movie reviews from IMDB.

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PHP Interface for Babel Street Text Analytics

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Php Sentiment Analysis allows user to analyze sentiments from a text statement

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Modern code coverage analysis library

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A laravel package that provides sentiment analysis capabilities using OpenAI's GPT to easily analyze text-based data and gain insight into the underlying sentiment.

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PHP Text Analysis is a library for performing Information Retrieval (IR) and Natural Language Processing (NLP) tasks using the PHP language

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Text analysis service

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Use the Analyze API to analyze any external asset and return details based on the type of analysis requested. Currently supports the following analysis options: * [AI Vision - Tagging](https://cloudinary.com/documentation/cloudinary_ai_vision_addon#tagging_mode) * [AI Vision - Moderation](https://cloudinary.com/documentation/cloudinary_ai_vision_addon#moderation_mode) * [AI Vision - General](https://cloudinary.com/documentation/cloudinary_ai_vision_addon#general_mode) * [Google tagging](https://cloudinary.com/documentation/google_auto_tagging_addon) * [Captioning](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#ai_based_image_captioning) * [Cld Fashion](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Coco](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Lvis](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Unidet](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Human Anatomy](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Cld Text](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Shop Classifier](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) **Notes**: * The Analyze API is currently in development and is available as a Public Beta, which means we value your feedback, so please feel free to [share any thoughts with us](https://support.cloudinary.com/hc/en-us/requests/new). * The analysis options require an active subscription to the relevant add-on. Learn more about [registering for add-ons](https://cloudinary.com/documentation/cloudinary_add_ons#registering_for_add_ons). The API supports both Basic Authentication using your Cloudinary API Key and API Secret (which can be found on the Dashboard page of your [Cloudinary Console](https://console.cloudinary.com/pm)) or OAuth2 ([Contact support](https://support.cloudinary.com/hc/en-us/requests/new) for more information regarding OAuth).

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A library for processing and analyzing media content, providing tools for audio, video, and text analysis.

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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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A laravel friendly wrapper around the Aylien PHP SDK

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