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.
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.
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.
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.
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.
This API provides text analysis for Tone, Sentiment, Summarization, Personality Analysis, and more. This API can be used for: Part of Speech Tagging Named Entity Recognition Sentence Disambiguation KeyWord Extraction Summarization and Sentence Significance Sentiment Analysis Alliteration Detection Word Sense Disambiguation Clustering Logistic Regression Scoring Prominence Tagging for Latent Semantic Indexing Tagging for Singular Value Decomposition Phonetic Decomposition Reading Difficulty Modeling Technical Difficulty Modeling Spelling Correction String Comparison and Plagiarism Detection Author Profiling Psychographic Modeling Fact and Statistic Extraction Ism Extraction Character Language Modeling It is also useful in the creation of ChatBots, SearchEngines, and KnolExtraction for Automated Documentation.
Shape what comes next with the Oxford Dictionaries API. The OED is the unsurpassed guide to the meaning, history, usage and pronunciation of more than 600,000 words – past and present – from across the English-speaking world. Its historical record of the English language is traced through more than 3.5 million quotations and covers words and senses including rare, obscure, and obsolete terms, as well as terms that are used in modern English. The OED prototype API endpoints return three main data types: • words: data for each OED lemma (headwords and sublemmas), including date range, etymological information, syntactic information, and pronunciations; • senses: data for each word meaning listed in the OED, including date range, definitions, and semantic classifications; • quotations: data for each quotation provided in the OED as an illustrative example, including date, source, and quotation text. Whether you’d like to focus your search on a particular historical period to create a Tudor Word of the Day app, integrate authorial quotations into your project, look up rare and obsolete terms, or offer word histories, this is the resource for you. Try it out and let us know what you think: https://developer.oxforddictionaries.com/our-data
Enhanced Text Analysis capabilities: language detection, summarization, webpage content and metadata extraction, named entity recognition, sentiment analysis, semantic content comparison, IAB and IPTC content classification, document vectorization. TrustServista is a software solution provided by Zetta Cloud (www.zettacloud.ro). Read more: www.trustservista.com
Tabex PDF Intelligence API is designed to help you extract meaningful data in your data flow. Millions of PDF are created daily around the world and contain data in border-less and bordered tabular forms. Tabex helps you to make these data available in a meaningful and actionable format. Start discovering the hidden insights from your documents. Tabex PDF Data intelligence API is designed to offer both performances and flexibility. The API is restful call that offers high speed and precision. Developers can call the API in different modes and integrate it in a variety of work flows for semantic analysis, data capture, Financial data base building and others. The API is able to extract tabular data from both scanned and editable PDF into a variety of formats. Formats include PDF to EXCEL, PDF to XML, PDF to CSV, PDF to HTML and PDF to Text. The API leverages several algorithms to identify tabular data, extract them in editable or machine readable format and allow developers to leverage data in their data work flow.
Unique News Search and Analytics capabilities: search in over 50,000 daily English-language news posts, content quality scoring and clickbait detection, URL links and semantic graph extraction, similar content detection, publisher statistics, geolocation tagging and more. TrustServista is a software solution provided by Zetta Cloud (www.zettacloud.ro). Read more: www.trustservista.com