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Determine how close two pieces of text are both in surface closeness [lexical similarity] and meaning [semantic similarity]. Instead of doing a word for word comparison, we also need to pay attention to context in order to capture more of the semantics
LETTRIA is one of the most advanced players in NLP (Natural Language Processing) in the French-speaking market. The team has developed a unique technology to achieve a higher level of accuracy and correction in French than the models created by English-speaking actors. LETTRIA aims to bring the processing of the French language as close as possible to human functioning by creating APIs based on French semantics and not on keywords. The LETTRIA team combines its scientific and technological skills with linguist profiles in order to deal as closely as possible with the specificities of the French language. They aim to make the use of NLP technologies accessible by offering high-performance proprietary libraries, high-quality educational content and demonstrating the benefits of using a 100% French model in all sectors of activity.
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.
AI Markerは、自然言語処理と深層強化学習を利用した文書自動要約器です。AI-Marker is an Automatic Document Summarizer with Natural Language Processing(NLP) and a Deep Reinforcement Learning.
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.
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.
The Nutrition Analysis API and Database uses Natural Language Processing and semantically structured data.
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.
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.
Remove the background from images with AI. Our background removal is based on the latest research in semantic segmentation and image matting. Web interface: https://hotpot.ai/remove-background
Sentiment Analysis 2.0 for Hotel Reviews - Language Understanding API designed especially for Hotel Reviews.
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 Analysis for Hotel Reviews - Language Understanding API (149 models) designed, trained, and tested on Hotel Reviews.