You May Be Interested in these APIs
Harness the power of next-generation AI to extract more from text in 27 languages: detect bigotry, sexual harassment, cyberbullying, extract topics, and find not only whether, but also why the customer is happy or unhappy with your product or service. Our applications and components are accessible via a public cloud on a subscription basis (SaaS), can be installed on premises, or embedded in 3rd party applications for seamless integration and security.
The supported languages are: English, Chinese (Simplified and Traditional), Arabic, Danish, German, Spanish, Persian, Finnish, French, Hebrew, Indonesian, Italian, Japanese, Korean, Malay, Dutch, Norwegian, Polish, Pashto, Portuguese, Russian, Swedish, Thai, Turkish, Urdu, Vietnamese.
We offer several ways to use our components, from a generous free plan (not just a limited trial) to enterprise-grade plans and on prem installation options. Whether you're a small startup, an independent developer, or an enterprise, we can work together.
Related APIs in Category: Russian
Easily translate text between Arabic, Chinese (Simplified), Chinese (Traditional), Czech, English, French, German, Italian, Japanese, Portuguese, Russian, Spanish, and Turkish. Source Language is optional now. Target Language can use full language or 2-3 character code (NOT case-sensitive). Arabic (ar), Chinese -Simplified (zh), Chinese -Traditional (zht OR chinesetraditional), Czech (cs), English (en), French (fr), German (de), Italian (it), Japanese (ja), Portuguese (pt), Russian (ru), Spanish (es), Turkish (tr)
Sentiment analysis and keyword extraction for English, French, German, Russian. See http://www.skyttle.com for demos, tutorials and example clients. The API is reachable on https://sentinelprojects-skyttle20.p.mashape.com/ . Support for languages other than English is currently available only on custom pricing plans - please get in touch with us if you'd like to use the API for these languages.
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
The spoken language identifier is a service that tries to determine the language spoken in an audio recording. The model currently supports 8 languages: English, Spanish, Italian, French, German, Portuguese, Dutch, and Russian. You can use it to classify recordings as short as 1 second and as long as a minute. Note that the longer the recording, the higher the accuracy of the prediction. For 20 second recordings the accuracy is about 95%, whereas for 5 second samples it is just over 80%. Supported audio formats: WAV, FLAC, OGG.