Save time with out-of-the-box NLP models like named entity recognition, sentiment analysis, keyword extraction, and more – built and continuously improved upon by our teams of data scientists, machine learning engineers, and linguistics experts.
Natural language processing (NLP) is the parsing and semantic interpretation of text, which allows systems to learn, analyze, and understand human language. With Watson’s suite of NLP offerings, including Watson Natural Language Understanding (NLU), you can surface concepts, categories, sentiment, and emotion, and apply knowledge of unique entities in your industry to your data, no matter where it lives.
Analyze text to extract metadata from content such as concepts, entities, keywords, categories, sentiment, emotion, relations, and semantic roles.
Extract metadata from unstructured text for deep analysis.
Recommend similar content to what users are interested in viewing or experiencing.
Search through large content repositories and quickly uncover relevant answers.
Engage with a full suite of advanced text analytics features to extract entities, relationships, keywords, semantic roles and more.
Apply the knowledge of unique entities and relations in your industry or organization to your data.
Broad Language Coverage
Interpret text in thirteen different languages, with more on its way.
Natural language understanding features.
Categorize your content using a five-level classification hierarchy.
Identify high-level concepts that aren’t necessarily directly referenced in the text
Analyze emotion conveyed by specific target phrases or by the document as a whole.
Find people, places, events, and other types of entities mentioned in your content.
Search your content for relevant keywords.
Analyze the sentiment toward specific target phrases and the sentiment of the document as a whole.
For HTML and URL input, get the author of the webpage, the page title, and the publication date.
Recognize when two entities are related, and identify the type of relation.
Parse sentences into subject-action-object form, and identify entities and keywords that are subjects or objects of an action.
Identify custom entities and relations unique to your domain with Watson Knowledge Studio.
Watson Knowledge Studio
Teach IBM Watson the language of your domain with custom models that identify entities and relationships unique to your industry in unstructured text. Build your models in a collaborative environment designed for both developers and domain experts, without needing to write code.
Unlock hidden value in data to find answers, monitor trends, and surface patterns. It makes it easy to build AI solutions that find relevant answers in complex, disparate data with speed and accuracy. A new feature, smart document understanding, speeds training, enabling cleaner answers in less time with less effort.
Quickly build and deploy virtual assistants across a variety of channels. it is an offering for building conversational interfaces into any application, device, or channel. Most chatbots try to mimic human interactions, which can frustrate users when a misunderstanding arises. Watson Assistant is more.