Found 69 packages
Core package for Sentiment Analysis
SentimentAnalyzer is an on-device (offline) open-source library for sentiment analysis using ML.NET. For a lightweight alternative using VADER (rule-based), see SentimentAnalyzer.Core. For high-accuracy transformer models, see SentimentAnalyzer.Onnx.
Wikiled Sentiment Analysis library
GroupDocs.Classification for .NET is an easy to use library that allows performing sentiment analysis (classification), document classification, and raw text categorization. Features: * Classifies both raw text and documents with IAB-2, Documents, Sentiment, or Sentiment3 taxonomies. * Sentiment Analysis (Classification) supports Positive/Negative or Positive/Neutral/Negative taxonomies for English, Chinese, German, or Spanish languages. * Returns the probability of each class. Supported document formats: * Microsoft Word documents - DOC, DOT, DOCX, DOCM, DOTX, DOTM, TXT, RTF; * Open Document formats - ODP, ODS, ODT, OTT; * Portable Document Formats - PDF; For more details on the GroupDocs.Classification for .NET API, please visit GroupDocs website at: https://www.groupdocs.com/products/classification/net
Machine Learning Library that builds Sentiment model to be used within AspNetCore Web Api project.
This middleware uses Cognitive Services Sentiment Analysis to identify the sentiment of each inbound message and make it available for your bot or other middleware component.
Package Description
Wikiled Sentiment Analysis Service API
Sentiment Analysis using Azure Machine Learning
Sentiment Analysis Vivekn
Resource package that contains sentiment analysis model for SimpleNetNlp project (simple C# wrapper for Stanford CoreNLP).
A sentiment analysis algorithm in C#.
Wikiled Sentiment tracking
Application Component for the Alliance Business Suite.
Wikiled.Sentiment.Tracking.Service
Wrapper for the sentiment analytics from Microsoft's Azure.AI.TextAnalytics packge
Wikiled.Sentiment.Tracking.Api
Text Analytics and Sentiment Analysis API - allows to perform following: Sentiment analysis, Document classification, Entity extraction, Themes discovery, Keyword analysis, Citation detection, Slang detection..
Azure Cognitive Services Text Analytics is a cloud service that provides advanced natural language processing over raw text, and features like Language Detection, Sentiment Analysis, Key Phrase Extraction, Named Entity Recognition, Personally Identifiable Information (PII) Recognition, Linked Entity Recognition, Text Analytics for Health, and more.
Sentiment Analysis is a simple tool for analyzing the sentiment of a text. It returns the sentiment score and the sentiment label.