Sentiment Analysis

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

A sentiment analysis algorithm in C#.

.NET Client for Algorithmia Algorithms and Data API

Wikiled Sentiment Analysis library

Core package for Sentiment Analysis

.Net (C#) Binding for Babel Street Analytics API

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.

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.

Wikiled Sentiment Analysis Service API

Recommended Google client library to access the Google Cloud Natural Language API (v1), which provides natural language understanding technologies to developers. Examples include sentiment analysis, entity recognition, and text annotations.

An internal deployment package that allows for Algorithmia algorithm .net support

A collection of Bot Framework V4 extensions and middleware. Including: Azure AD Authentication, Typing, Spell Check, Sentiment Analysis.

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains. v2 of the library updated to target .Net 6 and latest Python version. Emojis are supported. C# version now tracks Python versioning. Forked from https://github.com/codingupastorm/vadersharp

GroupDocs.Classification Cloud for .NET is a programming SDK that allows software developers to classify documents and raw texts from within their own applications.

This package containsa pcl library for using Microsoft text analysis cognitivie service

.NET Client for Algorithmia Algorithms and Data API

Library for leveraging Clarsentia API to perform sentiment and emotion analytics. Also provides query access to the Clarsentia database. This library supports .NET 4.5+ client implementations.

Idyl Cloud is a natural language processing service that provides named-entity extraction (from text and tweets), language detection, keyword extraction, and sentiment analysis.

This package containsa pcl library for using Microsoft text analysis cognitivie service

Recommended Google client library to access the Google Cloud Natural Language API, which provides natural language understanding technologies to developers. Examples include sentiment analysis, entity recognition, and text annotations.

Recommended Google client library to access the Google Cloud Natural Language API (v2), which provides natural language understanding technologies, such as sentiment analysis, entity recognition, entity sentiment analysis, and other text annotations, to developers.

Sentiment Analysis using Azure Machine Learning

This library is the C# .NET SDK for the EOD Historical data REST API. It's intended to be used for data extraction for financial valuations, macroeconomic analyses, sentiment analysis, option strategies, technical analysis, development of machine learning models, and more!

Sentiment Analysis Vivekn

Library for getting TF-IDF values for Sentiment Analysis (Requires one general file with structured positive and negative rows with identificator at the end one (like in the example)) Identificators: 1 - Positive, 0 - Negative

Sentiment analysis is the automated process of understanding an opinion about a given subject from written language.

Text Analytics and Sentiment Analysis API - allows to perform following: Sentiment analysis, Document classification, Entity extraction, Themes discovery, Keyword analysis, Citation detection, Slang detection..

Resource package that contains sentiment analysis model for SimpleNetNlp project (simple C# wrapper for Stanford CoreNLP).

C# ฟรี tool ตรวจข้อความไทยว่าเป็น ด่า ติหนิ หรือมีคำหยาบคายหรือไม่ Thai sentiment text analytic by Loy (ThaiSenLoy) เป็นไลบรารีพัฒนาด้วย C# .NET Core 3.1 ทำงานได้ใน Windows, macOS และ Linux ใช้ทำแอพได้ทุกชนิด ไม่ต้องเรียกเว็บเซอร์วิส เป็น Nuget package ฝังในแอพของเท่านเรียกใช้งานได้แบบ off-line เรียกใช้งานง่าย ใช้โค้ดบรรทัดเดียวทำงานได้กับภาษา C#, F#, VB.NET และภาษา .NET ทั้งหมดที่สนับสนุน ML.NET ไลบรารี มีความแม่นยำ 90% เพราะ train model Machine learning ด้วย dataset ภาษาไทย เป็นข้อความคละกันระหว่างคำชมและคำด่ามากกว่าหมื่นข้อความ มีทั้งประโยคสั้นและยาวหลากหลาย รวบรวมจากหลายแหล่ง

Sentiment Analysis Middleware component for Bot Framework Composer and v4 Bot Builder SDK. Enables you to find out what customer think of brand or topic by analyzing raw text for clues about positive or negative sentiment. This component can extract the sentiment powered by SentimentAnalyzer which encapsulates both offline (powered by ML.NET) and online (powered by Azure Cognitive Services) sentiment analysis.

Semantria is a text analytics and sentiment analysis API by Lexalytics. It allows you to gain valuable insights from your unstructured text content. It is based on Lexalytics’ Salience – a text analytics and sentiment analysis engine. The same engine as the one being used by Oracle, Cisco, Thomson Reuters, Saleforce.com - Radian6, Visible, Lithium, and 50+ other leaders in the space. Semantria offers .Net SDK, that is the most convenient way to get started with the Semantria API on .Net platform. SDK implements all the available Semantria features and demonstrate best practices of API usage. A Free trial is available at https://semantria.com/signup

Wikiled Sentiment Analysis Service API

Sentiment Analysis Middleware component for Bot Framework Composer and v4 Bot Builder SDK. Enables you to find out what customer think of brand or topic by analyzing raw text for clues about positive or negative sentiment. This component can extract the sentiment powered by SentimentAnalyzer which encapsulates both offline (powered by ML.NET) and online (powered by Azure Cognitive Services) sentiment analysis.

An internal deployment package that allows for Algorithmia algorithm .net support

Sentiment Analysis Middleware component for Bot Framework Composer and v4 Bot Builder SDK. Enables you to find out what customer think of brand or topic by analyzing raw text for clues about positive or negative sentiment. This component can extract the sentiment powered by SentimentAnalyzer which encapsulates both offline (powered by ML.NET) and online (powered by Azure Cognitive Services) sentiment analysis.

Sentiment Analysis is a simple tool for analyzing the sentiment of a text. It returns the sentiment score and the sentiment label.

The GenCode library is a first-of-its-kind powerful ORM for LLM like GPT4 for incorporating advanced artificial intelligence capabilities, particularly in natural language processing, into your .NET applications. With a seamless integration process, this package empowers developers to harness the full potential of AI within their projects, much like how a traditional ORM simplifies database interactions. With its easy-to-use API and seamless integration process, this package empowers developers to harness the full potential of natural language processing within their projects. The library supports various language tasks, including text generation, sentiment analysis, and more, and is continuously updated with new features and improvements. Comprehensive documentation and examples are available to facilitate rapid integration and adoption.

A page builder widget which enables Disqus comments on your .NET Core website with optional tracking of marketing activities and sentiment analysis.

Textmetrics is the easiest way to create high quality content that is found and converts. With the Content Quality analysis you will make sure that your content matches your target audience, in terms of readability, tone of voice, credibility and sentiment. With the SEO optimization suggestions you’ll make sure your content is SEO friendly.

Efuelite Solutions Vadar Sentiment Analysis in C#. "VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media." Previously VADER was only available in python (https://github.com/cjhutto/vaderSentiment) Efuelite Solutions Vadar Sentiment Analysis extends the c# methods with new handy methods to perform sentiment analysis on any body of text in english. This project was an improvement and upgrade on codingupastorm.VaderSharp https://github.com/codingupastorm/vadersharp C# String extension method was added for Sentiment analysis.