Related APIs in Category: Classification
Stephen here from Lambda Labs. For sample code and a graphical demo, check out http://api.lambdal.com/docs. Our API provides face recognition, face detection, eye position, nose position, mouth position, and gender classification. If you have any questions ask! Just send an email to [email protected] Happy Hacking! -Stephen
TextAnalysis API provides customized Text Analysis,Text Mining and Text Processing Services like Text Summarization, Language Detection, Text Classification, Sentiment Analysis, Word Tokenize, Part-of-Speech(POS) Tagging, Named Entity Recognition(NER), Stemmer, Lemmatizer, Chunker, Parser, Key Phrase Extraction(Noun Phrase Extraction), Sentence Segmentation(Sentence Boundary Detection), Grammar Checker and other Text Analysis Tasks. It stands on the giant shoulders of NLP Tools, such as NLTK, TextBlob, Pattern, MBSP and etc. You can test the services on our demo website TextAnalysisOnline and use the TextAnalysis API on Mashape. If you have any questions or want any customized text analysis services, you can contact us by email: [email protected]
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
LoginContact Jobs FAQDocumentationDemoHomeCheck out the demo to see Ingenia in action.Look at the FAQ for any questions. Go through the documentation and choose if you want to use Ingenia by the API or with the Ruby gem. Contact us to get your API key or if you have any questions.If you would like to verify your API key or code data path then use the status call.https://github.com/ingenia-api/ingenia_rubyIngenia by default limits a user to 4 calls per second, for every type of API call. [...] Notes A tag rule must include either an entry for the tuple "text" and "language", or for "rule tag", but NOT both.