To be able to use the service, you just have to log into MeaningCloud (by registering or using other services to log in), and you will receive a license key … SocialBro analyzes over 15 million tweets per month to extract insights that are essential for its clients' marketing activities and campaigns. Its value is an integer number in the 0-100 range. The MeaningCloud Sentiment Analysis API detects the sentiment of any text. Sentiment models are defined for a particular language. Binary classification like spam filtering (HAM, SPAM) or simple sentiment analysis (POSITIVE, NEGATIVE) Multiple class classification like selecting one category among several alternatives - movie genre classification (thriller, terror, romantic, etc ...) Multilabel categorization - assigning all categories that apply to a single document The MeaningCloud Sentiment Analysis Shell Sample Code demonstrates how to use widget, cURL, and HTTPie tools to access the API and implement sentiment analysis features. You can use them to test a sample request and get an example response in a quick and … Sentiment Analysis: analyze the sentiment polarity, subjectivity, irony, and emotional agreement of a text using MeaningCloud’s Sentiment Analysis API. irony: Indicates the irony of the text. An API Key is required and available after signing up for an account with MeaningCloud. ), concepts, money expressions and quantities from a text using MeaningCloud’s Topics Extraction API . The SentimentAnalysis API determines whether a piece of text has positive, negative, or neutral sentiment by Identify the positive, negative, neutral polarity in any text, including comments in surveys and social media. The different APIs provide easy access to many NLP tasks such as automatic classification, sentiment analysis, topic extraction, etc. Make calls to the REST API with GET or POST (POST is recommended) over HTTP/S with returns in JSON and XML. Sentiment Analysis: perform a detailed multilingual sentiment analysis of texts from different sources. Topic Extraction: extract Named Entities (people, organizations, etc. You will only be able to analyze a text in a particular language if the lang parameter and the lang of the model are the same. Here you have simple examples of requests to the Topics Extraction API. Extract the global sentiment of a text or the polarity associated to each one of the topics. The MeaningCloud Sentiment Analysis API detects the sentiment of any text. Make calls to the REST API with GET or POST (POST is recommended) over HTTP/S with returns in JSON and XML. The sentiment analysis uses a morphosyntactic analysis, which is directly directed to the language and the reason why the lang parameter is required. In this Test Console for the Sentiment Analysis API you can test the API response for different parameters. Sentiment Analysis is MeaningCloud's solution for performing a detailed multilingual sentiment analysis of texts from different sources. And a key ingredient of these insights is the analysis of Twitter users’ sentiment. An API Key is required and available after signing up for an account with MeaningCloud. 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. MeaningCloud Sentiment Analysis APIs are powering SocialBro's Twitter marketing application. Multilingual sentiment analysis of texts from different sources (blogs, social networks,...). represents the confidence associated with the sentiment analysis performed on the text.