AlchemyLanguage is a collection of natural language processing APIs that help you understand sentiment, keywords, entities, high-level concepts and more. You can use AlchemyLanguage to understand how your social media followers feel about your products, to automatically classify the contents of a webpage, or to see what topics are trending in the news. AlchemyLanguage provides many pre-trained features, but you can also create a custom model using Watson Knowledge Studio.
Common use cases for AlchemyLanguage include:
-Understand the causes behind negative and positive reviews
-Track important industry events such as acquisitions and new competitors
-Tailor recommended content and advertisements to the content on the page
Use one or all of the natural language processing APIs available through AlchemyLanguage to add high-level semantic information. Browse the documentation to learn more about each of AlchemyAPI's text analysis capabilities:
Linked Data Support
Any publicly-accessible webpage or posted HTML/text document.
Extracted meta-data including, entities, sentiment, keywords, concepts, relations, authors, and more, returned in XML, JSON, and RDF formats.
Helping Brands Understand Customers With Social Media Intelligence - Pulsar Social Media Monitoring
Pulsar is reinventing social data monitoring with its powerful tools that give brands valuable intelligence enabling effective decision-making. Through integration of several natural language processing APIs, Pulsar rapidly releases innovations that help customers go beyond basic keyword tracking to map brand audiences, observe how content travels and manage team communication.