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.
Use b-semantic's API to extract and analyze web text. The API contains endpoints for text extraction, entity extraction, similarity computing and URL recommendations based on similarity. b-semantic is REST based, employs HTTP POST methods, and accepts JSON data types. Use the text extraction service to extract the main text elements from a URL or HTML source code. The entity extraction web service identifies entities. Compare URL's, HTML Fragments or text by measuring their similarity. Finally get recommendations based on website similarity. IMPORTANT: This is one of the rare apis that explicitly supports the german language regarding semantic analytics!
This API gives you comprehensive access to data across millions of products; use this API to build sophisticated models to track prices across a wide variety of products, easily build shopping comparison engines, enrich your e-commerce stores with rich metadata and more.
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.
Since we understand the recipe – ingredients, diets, allergies, nutrition, taste, techniques & more. We can connect your users with the best recipes available for their unique food preferences. Search over 2 million recipes - Search our large recipe database. We add new sites and recipes continuously. - You will also get access to over 5000 top web recipe sources - Our search algorithm returns the most relevant recipes from the most popular and best recipes sources on the web. We order recipes by their cookability and quality so your customer can always count on getting the best recipes! Semantically organized database - The recipes in our database are normalized and can be filtered in the search by calorie and diet preferences. Full nutrition for each recipe - We have the most accurate automated nutrition analysis on the web powered by our proprietary Natural Language Processing (NLP) engine. Customers get detailed nutrition breakdown of each recipe with 25+ nutrients and appropriateness for all major diets. - Filter by calories, diet or allergy restrictions - Edamam has developed over 35 diet and health filters for your customers to use. Now you can develop applications for virtually any popular diet or major health condition. Recipe caching - Edamam may allow caching for those customer on custom plans.
Lexicala API is a REST interface offering access to dictionary and lexical data from our monolingual, bilingual, multilingual and learner’s dictionaries in JSON format.
This API can extract important topics from any given text or URL and suggests all relevant Wikipedia Pages related to those topics.
The Nutrition Analysis API and Database uses Natural Language Processing and semantically structured data.
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.
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
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.
State of the art Deep Neural Neural Network based Natural Language Processing, including Semantic Textual Similarity.
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.
Create frequency based word clouds out of any text using part of speech filters. Let the cloud summarise what is going on in the text. The api supports Russian currently. Let us know if you need other languages via the API support.
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.
Semantic Kernel is an award-winning entity linking system that accurately detects keywords from a document and resolves them into corresponding Wikipedia entries. For further details, please refer to our web site.
Document Similarity API is based on advanced Natural Language Processing and Machine Learning technologies, and it belongs to text analysis and can be used to analysis the semantic similarity of two text document that user provided. The result is cosine similarity from 0 to 1, 0 means absolute different, 1 means absolute same.
This service provides detailed linguistic information for a given text in English, Spanish, French, Italian, Portuguese and Catalan. There are three operating modes that cover different aspects of the morphosyntactic and semantic analysis: Lemmatization, which provides the lemmas of the different words in a text; PoS tagging: which provides not only the grammatical category of a word, including semantic information about that word; Syntactic analysis: that provides a thorough syntactic analysis, giving a complete syntactic tree where the leaves represent the most basic elements and their morphological and semantic analyses.
Appetitoso is a semantic search engine for dishes. It allows developers to include a search engine and a recommender system into their applications by suggesting to the final users only the best dishes prepared by the restaurant near a location. Each dish has a score computed by Appetitoso taking into account more than 30 different parameter.