A dictionary and so much more! Rich information for a word with definitions, associations, examples, and much more.
The Text Analytics API is a suite of text analytics web services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction and language detection. No training data is needed to use this API; just bring your text data. This API uses advanced natural language processing techniques to deliver best in class predictions.
Simplest API to unfurl URL descriptions, titles, images, products, from all sites without being blocked. Fast and reliable.
English dictionary API providing an access to data of over 800 000 English lexical entries, such as words, phrasal verbs, multiword expressions etc. Use the API to get word definitions, usage examples, pronunciations, synonyms and antonyms or for text processing (lemmatization, morpheme segmentation, root word extraction, word inflections).
Our new approach to summarization won't miss any important details from your text.
This API uses advanced Natural Language Processing techniques to extract the most important 'Keywords' and 'Phrases' from a LIST of text or URL that you provide. Useful for SEOs.
One API for all your text analysis needs. Sentiment Analysis, Topic Tagging, Lemmatizer, and much more. Various NLP tools all with one plan. Use natural language processing to analyze and understand human sentences.
What's another word for this word, phrase, or paragraph? More than just synonyms, related words too!
Vocabulary test with levels and exam-specific words (SAT, GMAT, etc). Customized word association quiz for game and e-learning software.
What's the difficulty level of this article? Evaluate the difficulty level of a word, sentence, or paragraph and compare it with another.
RussianSentimentAnalyzer (RSA) is a JSON API based on the technology stack of Insider Solutions company. It is capable of parsing the input text, reconstructing the meaning of messages with typos, like tweets and finding sentiment polarity oriented towards a particular object. Consider an example: I like new GalaxyS, but do not enjoy new iPhone. If there are no objects, the sentiment of this sentence can be detected as NEUTRAL or MIXED. If, however, GalaxyS has been passed in as an object, the sentiment will be POSITIVE. It will be NEGATIVE for iPhone in this particular example. Currently the API supports Russian language with input texts varying from long formal news posts to informal and short tweets. Looking for text analytics APIs? Check the full list here: https://www.mashape.com/dmitrykey
Sentiment Analysis pro uses advanced machine learning trained algorithms to detect if text is positive or negative
The Content Moderator API provides machine-assisted moderation of multilingual text for potentially offensive or unwanted content. Powered by Microsoft Azure Cognitive Services.
Classifier for the suitability of a text fragment for the general public or not (ie determined to be mature/adult content)
Build a graph with words connected to other words. Diagram information for visualizing concepts or mind maps.