Search for movie/show reviews
Display Hugging Face logo and spinner
Try PaliGemma on document understanding tasks
Ask questions about images
Generate insights from charts using text prompts
finetuned florence2 model on VQA V2 dataset
View and submit results to the Visual Riddles Leaderboard
Display a loading spinner while preparing
Media understanding
Generate answers to questions about images
Rerun viewer with Gradio
Display interactive empathetic dialogues map
a tiny vision language model
Sentiment Analysis is a powerful tool within the Visual QA category that enables users to search for movie and show reviews and analyze the emotional tone behind the text. It is designed to determine whether the sentiment expressed in a piece of text is positive, negative, or neutral. This technology leverages advanced natural language processing (NLP) to understand the nuances of human language and provide accurate sentiment detection.
• Review Search: Quickly find and analyze reviews of movies and TV shows.
• Sentiment Detection: Automatically determine if the sentiment of the text is positive, negative, or neutral.
• Emotion Recognition: Identify specific emotions like happiness, sadness, or anger within the text.
• Multi-Language Support: Analyze reviews written in multiple languages.
• Real-Time Analysis: Get instant results for sentiment analysis queries.
What languages does Sentiment Analysis support?
Sentiment Analysis supports multiple languages, making it a versatile tool for global audiences.
How accurate is Sentiment Analysis?
The accuracy depends on the complexity of the text, but it is highly effective for most standard reviews and comments.
Can I use Sentiment Analysis for other purposes besides movie reviews?
Yes, while it is optimized for movie and show reviews, it can be applied to other types of text analysis with similar effectiveness.