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Microsoft Azure Cognitive Service Text Analytics API detect sentiment, key phrases, topics, and language from your text.
Category
Text Analytics API
Features
• Sentiment analysis
• Key phrase extraction
• Language detection
License
Proprietary
Price
• Free
• Standard S1 - $150.04
• Standard S2 - $500.03
• Standard S3 - $1,250.23
• Standard S4 - $2,500.15
Pricing
Subscription
Free Trial
Available
Users Size
Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1000 employees)
What is best?
• Sentiment analysis
• Key phrase extraction
• Language detection
What are the benefits?
• Built with best-in-class Microsoft machine learning algorithms
• Used to analyze unstructured text for tasks
• No training data is needed to use this API
• Uses advanced natural language processing techniques
• Deliver best in class predictions
PAT Rating™
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
8.5
8.1
Features & Functionality
8.3
7.1
Advanced Features
8.5
9.4
Integration
8.4
9.4
Performance
8.4
8.5
Customer Support
8.3
10
Implementation
9.4
Renew & Recommend
6.3
Bottom Line
For Sentiment Analysis, the API returns a numeric score between 0 and 1. Scores close to 1 indicate positive sentiment and scores close to 0 indicate negative sentiment.
8.4
Editor Rating
8.1
Aggregated User Rating
8 ratings
You have rated this
Microsoft Azure Cognitive Service Text Analytics API detect sentiment, key phrases, topics, and language from your text. For Sentiment Analysis, the API returns a numeric score between 0 and 1. Scores close to 1 indicate positive sentiment and scores close to 0 indicate negative sentiment. Sentiment score is generated using classification techniques. The input features of the classifier include n-grams, features generated from part-of-speech tags, and word embeddings. English, French, Spanish and Portuguese text are supported.
For Key phrase extraction the API returns a list of strings denoting the key talking points in the input text. English, German, Spanish, and Japanese text are supported.
The topic detection API that returns the detected topics for a list of submitted text records. A topic is identified with a key phrase, which can be one or more related words. Language API returns the detected language and a numeric score between 0 and 1. Scores close to 1 indicate 100% certainty that the identified language is true.
Easily find out what customers think of your brand or topic by analyzing raw text for clues about positive or negative sentiments
Company size
Medium (50 to 1000)
User Role
Executive
User Industry
Telecommunications
Rating
Ease of use8.4
Features & Functionality8.1
Advanced Features8.4
Integration8.2
Performance8.2
Implementation8.2
ADDITIONAL INFORMATION Text Analytics API provides advanced natural language processing over raw text. You can easily find out what customers think of your brand or topic by analyzing raw text for clues about positive or negative sentiments. The input features of the sentiment analysis include n-grams, features generated from part-of-speech tags, and word embedding where English, French, Spanish, and Portuguese text are supported and 11 additional languages in preview. The API returns a list of strings denoting the key phrases in the input text so that you can immediately know the main point of the text with the help of techniques from Microsoft Office’s sophisticated Natural Language Processing toolkit which supports English, German, Spanish, and Japanese text. For up to 120 languages, you can also detect which language the input text is written in and the API will report a single language code for every document submitted on the request then the code is paired with a score indicating the strength of the score.
Easily find out what customers think of your brand or topic by analyzing raw text for clues about positive or negative sentiments
Medium (50 to 1000)
Executive
Telecommunications
ADDITIONAL INFORMATION
Text Analytics API provides advanced natural language processing over raw text. You can easily find out what customers think of your brand or topic by analyzing raw text for clues about positive or negative sentiments. The input features of the sentiment analysis include n-grams, features generated from part-of-speech tags, and word embedding where English, French, Spanish, and Portuguese text are supported and 11 additional languages in preview. The API returns a list of strings denoting the key phrases in the input text so that you can immediately know the main point of the text with the help of techniques from Microsoft Office’s sophisticated Natural Language Processing toolkit which supports English, German, Spanish, and Japanese text. For up to 120 languages, you can also detect which language the input text is written in and the API will report a single language code for every document submitted on the request then the code is paired with a score indicating the strength of the score.