Sentiment Analysis Tool

Results

Sentiment

📢 We've upgraded this tool for enhanced privacy and performance. Now, instead of using a Python-based API, we employ TensorFlow JS with a Convolutional Neural Network (CNN) algorithm right in your browser.

What is Sentiment Analysis?

Sentiment analysis is the process of extracting and identifying subjective information from text, such as opinions, emotions, and attitudes. It is a subfield of natural language processing (NLP) that involves analyzing text data to determine the sentiment of the text, whether positive, negative, or neutral.

What does this tool do?

The sentiment Analysis tool is designed to help you extract and identify subjective information from text data. Whether you're analyzing customer feedback, evaluating social media posts, or identifying sentiment trends in large datasets, this tool has you covered.

How to use this tool?

To use the tool, simply go to the text area and write anything you'd like to analyze. Once you're finished, click on the "analyze" button to begin the process. The tool will then analyze the text and provide you with three results: positivity, negativity, and neutrality. Each result will also come with a confidence level, indicating how strongly the tool believes the text fits into each category.

Not Accurate?

We're always looking to improve the accuracy of our sentiment analysis tool. If you feel that the results for your text are incorrect or correct, please click the like/dislike button to let us know.