Libraries tagged by sentimentanalysis

PHP Sentiment Analyzer is a lexicon and rule-based sentiment analysis tool for PHP using VADER (Valence Aware Dictionary and sEntiment Reasoner), matching the reference Python implementation exactly.

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Sentiment analysis tool for PHP

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A Laravel wrapper that performs sentiment analysis over an English sentence

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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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German Sentiment analysis library for 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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A content moderation and sentiment analysis library for Laravel 10+

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A content moderation and sentiment analysis library for Laravel 10+

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Fast, dependency-free sentiment analysis for PHP. VADER scoring for English and Indonesian.

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

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AFINN-based sentiment analysis

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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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Sentiment Analysis evaluates the emotional tone of any text string. It returns an AFINN valence score, a comparative word-normalized score, and a five-tier sentiment label from very negative to very positive. Paid plans add sentence-level labels from a transformer model, a mixed-sentiment flag, magnitude, and the words that drove the score.

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Sentiment analysis library for PHP.

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