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Stock Pulse Keyword Analysis API Search Results & Alternatives
The Next-generation of Sentiment Analysis, Keywords, Topics and Categories. 124 Semantic models designed especially for hotel reviews. With this unique approach, we cover more than 90% of information/facts contained within the review. Testing it on hundreds of thousands of reviews, we achieved very high accuracy (precision=95%) We call it Human-like Analysis because with these parameters we achieve the same quality as detected by skilled analysts (humans). It opens up a lot of new functionalities that can be easily combined with your product without any post-processing, additional training or configuration to your data. To learn more what can be done with this technology, visit our webiste: http://unicornnlp.com/?solutions-in-travel
Sentiment Analysis API provides professional text sentiment analysis service which includes common text sentiment analysis, stock sentiment analysis and twitter sentiment analysis, it is based on advanced Natural Language Processing and Machine Learning technologies. It can be used to sentiment text that user provided, and give the result with the sentiment and confidence for the text. For more information, you can test those service by the demo on our website: http://sentimentanalysis.net/
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.
Intellexer API includes natural language processing solutions for sentiment analysis, named entity recognition, summarization, keywords extraction, document comparison, file conversion, natural language interface for search engines, language detection, spell-checking, article and concepts extraction, etc.
Related APIs in Category: Analytics
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.
Easily verify a person’s information, lookup and check customer data. Personator is a lightweight, flexible, and powerful customer verification and enrichment API. Personator all-in-one cloud solution verifies contact data (name, address, e-mail, phone number), appends missing information, updates addresses with geolocation data and augments with numerous demographic traits as well.
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