Analyze sentences for biased entities
Generate Shark Tank India Analysis
Detect if text was generated by GPT-2
ModernBERT for reasoning and zero-shot classification
Search for philosophical answers by author
Analyze Ancient Greek text for syntax and named entities
Track, rank and evaluate open Arabic LLMs and chatbots
Aligns the tokens of two sentences
Find collocations for a word in specified part of speech
Explore Arabic NLP tools
Experiment with and compare different tokenizers
Predict song genres from lyrics
Ask questions about air quality data with pre-built prompts or your own queries
Gusnet V1 Demo is a cutting-edge text analysis tool designed to help users identify and analyze biased entities within sentences. Built with advanced AI technology, it provides insights into how language can convey bias, enabling users to make more informed decisions or refine their communication. The tool is particularly useful for content creators, researchers, and anyone looking to understand the nuances of language bias.
• Real-time Analysis: Provides immediate feedback on text inputs for quick insights.
• Entity Recognition: Identifies specific entities (people, places, organizations) in text.
• Bias Detection: Highlights potential biases associated with recognized entities.
• Cross-Platform Compatibility: Works seamlessly on multiple devices and operating systems.
• User-Friendly Interface: Designed for ease of use, even for those new to text analysis tools.
What is bias detection in Gusnet V1 Demo?
Bias detection identifies words or phrases in your text that may convey a particular standpoint or partiality, helping you assess impartiality.
Can Gusnet V1 Demo work with non-English text?
Currently, the demo primarily supports English. However, additional languages are planned for future updates.
How accurate is the bias detection?
The AI-powered detection is highly accurate but may not catch every nuance, especially in slang or highly context-dependent cases.