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Analyze sentiment in your text
Analyze sentiments on stock news to predict trends
Analyze text sentiment with fine-tuned DistilBERT
Text_Classification_App
This is a todo chat bot where it will answer the activities
Analyze tweets for sentiment
Detect emotions in text
Analyze sentiment in text using multiple models
Analyze sentiments in web text content
Analyze financial sentiment and visualize results with a chatbot
Analyze financial news sentiment from text or URL
Analyze the sentiment of financial news or statements
The Sentiment Analysis Demo is a tool designed to analyze and determine the emotional tone or sentiment behind text input. It helps users understand whether a sentence, phrase, or paragraph conveys positive, negative, or neutral sentiment. This demo is particularly useful for developers, businesses, and researchers looking to integrate sentiment analysis into their applications or workflows.
What types of text can I analyze?
You can analyze any text, including sentences, paragraphs, or short articles, in multiple languages.
Can the demo handle sarcasm or slang?
While the demo is highly accurate, it may struggle with sarcasm or heavily colloquial language. For best results, use clear and direct text.
How can I use this tool in my business?
You can integrate it to analyze customer feedback, social media posts, or product reviews to gauge public sentiment about your brand or offerings.