Introducing our Aspect-Based Sentiment Analysis (ABSA) Dataset, a comprehensive collection aimed at enhancing **sentiment analysis** with detailed **annotations** at the **word or phrase level** for product and service reviews. This dataset goes beyond standard sentence-level sentiment annotation by providing insights into specific aspects, opinions, and their relationships within texts. It includes data in five languages: **Japanese**, **Mandarin**, **Spanish**, **German**, and **English (US)**, totaling **60,000 units**. 

![79_Aspect-Based Sentiment Analysis.jpg](https://prdstrapimediastorage.blob.core.windows.net/prdstrapimediastorage/assets/79_Aspect_Based_Sentiment_Analysis_60d2003e74.jpg)

Amount

Japanese, Mandarin, Spanish, German, English (US)

Region

Aspect and opinion annotations at word/phrasal level

Detail Level

Product and service reviews across multiple domains

Scope

## Leverage this dataset to: 

- Train AI for deep understanding of customer opinions on products or services.
- Identify specific aspects and opinions within customer feedback.
- Uncover intricate correlation patterns between opinions and features.
- Enhance customer insight analytics with detailed sentiment analysis.
- Tailor products more accurately to meet customer needs.
- Improve customer experience based on nuanced understanding of sentiments.



## This dataset is ideal for
- Advanced Sentiment Analysis Applications
- Customer Insight and Experience Analytics
- Product Feature Analysis and Optimization
- Natural Language Processing (NLP) Research
- AI-Driven Market Research Tools



## Technical Specifications
- **Languages Covered**: Japanese, Mandarin, Spanish, German, English (US)
- **Data Units**: 60,000 units across all languages, offering a robust foundation for comprehensive sentiment analysis.
- **Annotation Level**: Word or phrase level for aspects and opinions, providing granular insights into customer feedback.
- **Application Scope**: Product and service reviews, suitable for a wide range of industries.


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### Ethical Data Collection
At Defined.ai, we are committed to ethical data collection practices, ensuring that our datasets are derived from fully consented, transparent processes. Our global, diverse crowdsourcing strategy not only expands the dataset's scope, but also steadfastly maintains standards of privacy and integrity. [Download our Ethical AI Manifesto](https://connect.defined.ai/ethical-ai-manifesto).

### Tailored to Your Needs
We understand the uniqueness of every project. That's why we offer customizable dataset solutions to match your specific requirements, from particular object classes to desired languages and formats. Our goal is to deliver data that not only meets but exceeds your project expectations.

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### License Information

This dataset is covered by our standard [Data license agreement](https://www.defined.ai/data-license-agreement). The license agreement is perpetual and allows for the commercialization of all models built on the data.


Aspect-Based Sentiment Analysis Dataset