Analyze sentiment of your text
This is a todo chat bot where it will answer the activities
Analyze sentiment of Tamil social media comments
Analyze sentiment in text using multiple models
Detect emotions in text
Analyze sentiment of Twitter tweets
Analyze the sentiment of a text
Analyze sentiments in web text content
Analyze sentiment from Excel reviews
Analyze the sentiment of a tweet
Predict the emotion of a sentence
Analyze sentiment of text input
Analyze sentiment of text and visualize results
Flaskapp is a Sentiment Analysis tool designed to analyze the sentiment of text data. Built using the Flask framework, it provides an efficient and user-friendly way to determine whether the sentiment of a given text is positive, negative, or neutral. Flaskapp leverages advanced AI algorithms to deliver accurate and reliable results, making it a valuable tool for various applications.
• Real-time Analysis: Analyze text sentiment instantly with minimal processing time.
• Multi-Language Support: Supports sentiment analysis for texts in multiple languages.
• Integration Friendly: Easily integratable with other applications and services.
• User-Friendly Interface: Intuitive API endpoint for seamless interaction.
• Customizable: Allows for fine-tuning models based on specific use cases.
Install Flaskapp
Set Up Your Environment
Run Flaskapp
Use the API Endpoint
Retrieve Results
Example:
{ "text": "I loved the new product!" }{ "sentiment": "positive" }What is sentiment analysis?
Sentiment analysis is the process of determining whether a piece of text expresses a positive, negative, or neutral sentiment.
How accurate is Flaskapp?
Flaskapp uses advanced AI models to ensure high accuracy, but results may vary depending on the complexity and context of the text.
Can I use Flaskapp for non-English texts?
Yes, Flaskapp supports sentiment analysis for multiple languages, making it versatile for diverse applications.