Among the features of the enRichMyData toolbox version 2 is the Expert.AI Platform’s Document Classification APIs, a sophisticated solution in Natural Language Processing (NLP) and Natural Language Understanding (NLU). This technology provides users with the means to categorize and understand large volumes of textual data through a range of structured taxonomies and powerful language support.
What the Expert.AI Document Classification APIs Offer
The Expert.AI Document Classification APIs give users the capability to classify documents across multiple taxonomies, helping to create organized and structured insights from unstructured text data. Supported taxonomies include:
- I.P.T.C. Media Topics for media and general topics
- GeoTax for geographic references, from countries to specific cities
- Emotional Traits for understanding emotional undertones in text
- Behavioural Traits to capture personality traits and tendencies
These taxonomies allow users to segment information into relevant categories based on context and content, helping to simplify data analysis and making it easier to derive actionable insights.
Language Support and Output Format
The platform’s classification APIs support English, Spanish, French, German, and Italian, offering broad usability across different linguistic regions. Classification results are provided in JSON format, allowing for easy integration into various applications and workflows.
For example, we submitted a document discussing the European Union’s initiatives in carbon emission reduction. The system quickly categorized this content under “Environmental Policy” and “Air Pollution” within its respective taxonomies, accurately capturing the document’s primary themes. This is just one instance of how effectively the platform organizes text based on its comprehensive taxonomy options.
GeoTax and Emotion/Behavior Classification in Action
The GeoTax feature is an especially valuable tool for categorizing text by geographical location. It can recognize and classify references to locations ranging from countries to cities, making it ideal for users who need geographic context to better understand the content they are analyzing.
In addition to geographic classifications, the platform’s Emotional and Behavioral Traits taxonomies provide deep insights into the sentiment and personality characteristics expressed in text, specifically in English and German. For example, an analysis of text concerning a farmer’s support of the Sustainable Australia Party revealed 96% disappointment and 3% happiness—a clear indication of the sentiment.
Similarly, a news piece about Greta Thunberg’s environmental activism highlighted behavioural traits, showing 71% initiative and 29% competence, giving insight into the portrayal of her character and determination.
Practical Applications and Access
The Expert.AI Document Classification APIs open up numerous possibilities for extracting meaningful insights from textual data, allowing users to incorporate these insights into diverse applications and industry use cases. From content moderation to market research and public sentiment analysis, this technology provides a foundation for meaningful data processing and interpretation.
The platform is available to enRichMyData users for the duration of the project and an additional six months following the project’s end, with no credentials required. Additionally, a Freemium License option is available, granting one month of free access or allowing users to analyze up to 1,000 texts.
In Summary
The Expert.AI Document Classification APIs within the enRichMyData Toolbox V2 provide a user-friendly yet powerful solution for processing and understanding textual data. By organizing text into structured taxonomies and delivering actionable insights, this tool is ready to support the evolving needs of industries and applications worldwide. Whether your focus is on geographic analysis, emotional insights, or broader topic categorization, this feature is designed to help you make the most of your data.
Try it out and explore how our enriched toolbox can enhance your data-driven journey.