Summarize this article with:
- In some NLP models and tools, entity sentiment analysis may involve assigning sentiment scores or labels to each entity mentioned in a text, indicating whether the sentiment is positive, negative,...
- Unified API for all providers: simple and standard to use, quick switch between providers.
- Consider your use case, budget, required accuracy, and language support.
- Several providers offer free tiers or trial credits.
- Eden AI acts as a single gateway to dozens of AI providers, standardizing API calls, billing, and response formats so you can focus on building rather than integration.
What is Entity Sentiment API?
Entity Sentiment refers to the sentiment or emotional tone associated with a specific entity, such as a person, place, product, or concept, within a piece of text or conversation. It is a way of analyzing and understanding the sentiment expressed towards individual entities mentioned in a larger context.
Entity Sentiment analysis is often used in natural language processing (NLP) and sentiment analysis tasks to provide a more fine-grained understanding of opinions and emotions expressed in text. It can be valuable for businesses to identify which specific aspects of their products or services are being praised or criticized by customers, helping them make targeted improvements.
In some NLP models and tools, entity sentiment analysis may involve assigning sentiment scores or labels to each entity mentioned in a text, indicating whether the sentiment is positive, negative, or neutral.
Entity Sentiment APIs Use Cases
You can use Entity Sentiment in numerous fields, here are some examples of common use cases: Customer Feedback Analysis, Product and Service Reviews, Brand Monitoring, News and Media Analysis, Market Research.
Best Entity Sentiment APIs on the market
While comparing Entity Sentiment APIs, experts at Eden AI tested, compared, and used many Entity sentiment APIs of the market. Here are some actors that perform well (in alphabetical order): Amazon (AWS), Aylien, Google Cloud.
1. Amazon - Available on Eden AI
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Amazon Comprehend can extract important words, phrases, locations, names, businesses, events, sentiments, and more from unstructured text. Custom entity recognition enables you to recognize novel entity types that are not compatible with the pre-established generic entity types.
2. Aylien
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Aylien's Entity Level Sentiment Analysis (ELSA) reliably predicts the emotion conveyed about each specific entity in the text. When an entity is referenced more than once, the emotion of each mention will be evaluated, and an average will be determined for the title or body.
3. Google - Available on Eden AI
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Google Cloud Entity Sentiment makes it simple and quick to conclude a lot of open-text data. Each time an entity is mentioned, its sentiment is assessed and expressed as a numerical score and magnitude value.
How Eden AI can help you?
Eden AI is the future of AI usage in companies: our app allows you to call multiple AI APIs.
- Centralized and fully monitored billing on Eden AI for all Entity Sentiment APIs.
- Unified API for all providers: simple and standard to use, quick switch between providers.
- Standardized response format: the JSON output format is the same for all suppliers.
- The best Artificial Intelligence APIs in the market are available.
- Data protection: Eden AI will not store or use any data. Possibility to filter to use only GDPR engines.
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