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"The Sentikator is a computer linguistic engine designed to calculably recognize, analyze and quantify emotions and content in texts. It allows extracting sentiment out of news, analyst recommendations, social media data, transcripts, press releases, broker news, factsheets, weather forecasts and many other sources. Sentiment extraction is highly reliable and disseminated data is preprocessed so that implementation into existing or new financial applications is easily possible. The Sentikator gives valuable insights to emotions"

Extract and rank concepts, tags and categories from webpages, URLs and text. Determine the sentiment expressed on a webpage. As a demonstration of Wingify's contextual targeting technology, contextually similar links to the input are also fetched from the web. We expose an API for this technology, contact us to begin using it.

we are developing SenticNet, a publicly available semantic and affective resource for opinion mining and sentiment analysis, built by means of sentic computing. By providing the semantics and sentics (that is, the cognitive and affective information) associated with over 14,000 concepts, SenticNet represents one of the most comprehensive semantic resources for the development of affect-sensitive applications in fields such as social data mining, ...

AlchemyAPI provides content owners and web developers with a rich suite of content analysis and meta-data annotation tools. Expose the semantic richness hidden in any content, using named entity extraction, keyword extraction, sentiment analysis, document categorization, concept tagging, language detection, and structured content scraping. Use AlchemyAPI to enhance your website, blog, content management system, or semantic web application.

zvelo is a leading "Data as a Service" provider of contextual categorization and malicious detection for a wide range of data sets and attributes, including language, category values (including Interactive Advertising Bureau's taxonomy), sentiment, ad fraud and malicious website detection, and more for URLs, the Deep Web and unstructured data. These data sets can be accessed through simple, straightforward SDKs and APIs for integration with applications in the online advertising, data analytics, network and endpoint security, and other use cases where contextual categorization accuracy, responsiveness, coverage, malicious detection, high performance throughput and scalability are required.

"The Global Database of Events, Language, and Tone (GDELT) is an initiative to construct a catalog of human societal-scale behavior and beliefs across all countries of the world, connecting every person, organization, location, count, theme, news source, and event across the planet into a single massive network that captures what's happening around the world, what its context is and who's involved, and how the world is feeling about it, every single day."

artificially intelligent, naturally smart.

Automated Text Analytics Saplo provide organisations with valuable information extracted from large quantities of text