Summarize this article with:
- Sentiment Analysis is an NLP technique that identifies and extracts subjective information from text, such as opinions, emotions, and attitudes.
- Sentiment Analysis evolved from rule-based lexicon approaches in the early 2000s to machine learning models, and now to transformer-based models like BERT and GPT that deliver state-of-the-art...
- OpenAI 's models can perform sentiment analysis through prompt engineering, offering flexible and context-aware sentiment detection across many languages and domains.
- Consider your use case, budget, required accuracy, and language support.
- 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 Sentiment Analysis?
Sentiment Analysis is an NLP technique that identifies and extracts subjective information from text, such as opinions, emotions, and attitudes. It classifies text as positive, negative, or neutral, and can provide more granular emotion detection.
What does Sentiment Analysis do?
Sentiment Analysis processes text to determine the emotional tone — positive, negative, or neutral — and can detect specific emotions like joy, anger, sadness, or fear. It's widely used to understand customer opinions at scale.
A brief history of Sentiment Analysis methods
Sentiment Analysis evolved from rule-based lexicon approaches in the early 2000s to machine learning models, and now to transformer-based models like BERT and GPT that deliver state-of-the-art accuracy across languages and domains.
Best Sentiment Analysis APIs on the market
Sentiment Analysis experts at Eden AI tested many APIs. Here are some actors that perform well: AWS, Google Cloud, Microsoft Azure, IBM Watson, Aylien, OpenAI, Lettria, and others.
1. Amazon Web Services - Available on Eden AI
Amazon Comprehend provides sentiment analysis as part of its NLP service, returning sentiment scores for positive, negative, neutral, and mixed sentiment with confidence scores.
2. Google Cloud - Available on Eden AI
Google Cloud Natural Language API provides sentiment analysis with document-level and sentence-level scores, returning a sentiment score and magnitude for each piece of text.
3. Microsoft Azure - Available on Eden AI
Microsoft Azure Cognitive Services Text Analytics provides sentiment analysis with opinion mining, identifying which aspects of a product or service the sentiment is about.
4. IBM Watson - Available on Eden AI
IBM Watson Natural Language Understanding provides sentiment analysis with targeted sentiment, allowing analysis of specific entities and keywords within text.
5. OpenAI - Available on Eden AI
OpenAI's models can perform sentiment analysis through prompt engineering, offering flexible and context-aware sentiment detection across many languages and domains.
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 Sentiment Analysis 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.
.jpg)
.png)
