Analyze sentiment of text input as positive or negative
Submit model predictions and view leaderboard results
Open LLM(CohereForAI/c4ai-command-r7b-12-2024) and RAG
Humanize AI-generated text to sound like it was written by a human
Extract... key phrases from text
fake news detection using distilbert trained on liar dataset
eRAG-Election: AI กกต. สนับสนุนความรู้การเลือกตั้ง ฯลฯ
Generate Shark Tank India Analysis
Predict song genres from lyrics
Embedding Leaderboard
Explore and Learn ML basics
Generate topics from text data with BERTopic
Use title and abstract to predict future academic impact
Sentimental AI is a cutting-edge text analysis tool designed to analyze and interpret the emotional tone of written content. It leverages advanced artificial intelligence to determine whether the sentiment of a given text is positive, negative, or neutral. This tool is particularly useful for businesses, researchers, and individuals looking to gauge public opinion, customer feedback, or emotional tone in written communications.
• Real-Time Analysis: Process and analyze text inputs instantly.
• High Accuracy: Delivers precise sentiment detection with minimal errors.
• Customizable Thresholds: Adjust sensitivity levels for sentiment classification.
• Multi-Language Support: Animate text from various languages seamlessly.
• Integration Ready: Easily integrate with existing applications and workflows.
• Data Privacy: Ensures secure processing of sensitive text data.
What is Sentimental AI used for?
Sentimental AI is primarily used to analyze the emotional tone of text data, making it ideal for customer feedback analysis, social media monitoring, and market research.
How accurate is Sentimental AI?
Sentimental AI is highly accurate due to its advanced AI algorithms, but accuracy may vary depending on the complexity and context of the text.
Can Sentimental AI process multiple languages?
Yes, Sentimental AI supports multiple languages, including English, Spanish, French, German, and many more, making it a versatile tool for global applications.