You May Be Interested in these APIs
MeaningCloud Topics Extraction API Search Results & Alternatives
Topics Extraction tags locations, people, companies, dates and many other elements appearing in a text written in Spanish, English, French, Italian, Portuguese or Catalan. This detection process is carried out by combining a number of complex natural language processing techniques that allow to obtain morphological, syntactic and semantic analyses of a text and use them to identify different types of significant elements.
Related APIs in Category: Semantics
The spoonacular Nutrition, Recipe, and Food API allows you to access over 365,000 recipes and 86,000 food products. Our food ontology and semantic recipe search engine makes it possible to search for recipes using natural language queries, such as "gluten free brownies without sugar" or "low fat vegan cupcakes." You can automatically calculate the nutritional information for any recipe, analyze recipe costs, visualize ingredient lists, find recipes for what's in your fridge, find recipes based on special diets, nutritional requirements, or favorite ingredients, classify recipes into types and cuisines, convert ingredient amounts, or even compute an entire meal plan. With our powerful API, you can create many kinds of food and especially nutrition apps. Special diets/dietary requirements currently available include: vegan, vegetarian, pescetarian, gluten free, grain free, dairy free, high protein, low sodium, low carb, Paleo, Primal, ketogenic, FODMAP, and Whole 30. We will soon be adding Weight Watcher points, too.
The Word Associations Network API allows developers to embed the ability to find associations for a word or phrase into their mobile apps or web services. Words are grouped by semantics, meaning, and psychological perception. The Word Associations Network API currently supports English, French, Spanish, German, Italian, Portuguese, and Russian vocabulary.
Dandelion API is a set of semantic APIs to extract meaning and insights from texts in several languages (Italian, English, French, German and Portuguese). It's optimized to perform text mining and text analytics for short texts, such as tweets and other social media. Dandelion API extracts entities (such as persons, places and events), categorizes and classifies documents in user-defined categories, augments the text with tags and links to external knowledge graphs and more. Dandelion API easily scales to support billions of queries per day and can be adapted on demand to support custom and user-defined vocabularies. Additional languages are available on demand.
Semantic role labeling, sometimes also called shallow semantic parsing, is a task in natural language processing consisting of the detection of the semantic arguments associated with the predicate or verb of a sentence and their classification into their specific roles. This API applies SRL to your text.
The Next-generation of Sentiment Analysis, Keywords, Topics and Categories. 124 Semantic models designed especially for hotel reviews. With this unique approach, we cover more than 90% of information/facts contained within the review. Testing it on hundreds of thousands of reviews, we achieved very high accuracy (precision=95%) We call it Human-like Analysis because with these parameters we achieve the same quality as detected by skilled analysts (humans). It opens up a lot of new functionalities that can be easily combined with your product without any post-processing, additional training or configuration to your data. To learn more what can be done with this technology, visit our webiste: http://unicornnlp.com/?solutions-in-travel
Deep Categorization is MeaningCloud's solution for in-depth rule-based categorization. It assigns one or more categories to a text, using a very detailed rule-based language that allows you to identify very specific scenarios and patterns using a combination of morphological, semantic and text rules.
MeaningCloud is a Software as a Service product that enables users to embed text analytics and semantic processing in any application or system. MeaningCloud extends the concept of semantic API with a cloud-based framework that makes the integration of semantic processing into any system something close to a plug-and-play experience. MeaningCloud is available both in SaaS mode and on-premises. Advanced APIs provide a functionality optimized for diverse applications and ease of use. In addition, customization and integration capabilities offer a fast learning curve and a short time to obtain results. MeaningCloud is a brand by MeaningCloud LLC, a wholly owned subsidiary of MeaningCloud Europe S.L., previously known as Daedalus. Daedalus was founded in 1998 by Jose C Gonzalez and other colleagues as a spin-off from their Artificial Intelligence research lab at the Technical University of Madrid.
MeaningCloud Website Summary:
Topic Extraction is MeaningCloud's solution for extracting elements of relevant information from unstructured text: This detection process is carried out by combining a number of complex natural language processing techniques that allow us to obtain morphological, syntactic, and semantic analyses of a text and use them to identify different types of significant elements. The current supported languages are Spanish, English, French, Italian, Portuguese, Catalan and with partial coverage Danish, Swedish, Norwegian and Finnish. Differentiators:Because the API is highly configurable you can adjust its behavior to very diverse operating scenarios, not only to obtain exactly the type of information relevant to the user, but also to cover different source formats, languages and even language registers.Recognizes names of people, organizations, and a hierarchy of 200 entity types.Extracts multiword concepts (e.g. "financial crisis").Disambiguates and detects co-occurrences in several languages.Users can create their own dictionaries.You can also use your own resources in the extraction process by creating a dictionary through our customization engine. Everything and anything you need to take advantage of this API's full potential.