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Multilingual sentiment analysis of texts from different sources (blogs, social networks,...). Besides polarity at sentence and global level, Sentiment Analysis uses advanced natural language processing techniques to also detect the polarity associated to both entities and concepts in the text. Sentiment Analysis also gives the user the possibility of detecting the polarity of user-defined entities and concepts, making the service a flexible tool applicable to any kind of scenario. Additionally, Sentiment Analysis detects if the text processed is subjective or objective and if it contains irony marks [beta], both at global and sentence level, giving the user additional information about the reliability of the polarity obtained from the sentiment analysis.
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
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Qtravel.pl is a full-text search engine of vacation packages provided by Polish tour operators. The Qtravel API provides developer access to the site’s search tools and booking functionality. API features include the ability to filter and sort offers by various attributes, and full-text search of offer descriptions. The API supports HTTP GET calls and returns XML formatted responses.
Understand the reason for a trip with Amadeus AI APIs. The Trip Purpose Prediction API uses AI trained on Amadeus historical trip booking data to predict whether a given itinerary is for a business trip or a vacation. Provide travelers with a personalized experience by understanding their motivations.