The Sentiment Analysis Tool is an AI-powered web application that uses a pre-trained sentiment analysis model to classify text as positive, negative, or neutral. By entering a sentence, the user can instantly get a sentiment classification, with the model providing confidence scores for each label.
- Sentiment Classification: Classifies text into three categories: Positive, Negative, or Neutral.
- Confidence Scores: Displays the model’s confidence for each sentiment label.
- Simple Interface: An easy-to-use interface for fast sentiment analysis.
- Instant Feedback: Get sentiment analysis results instantly after entering text.
- Input:
- Users input a sentence or text into the provided textbox.
- Analysis:
- The pre-trained Transformers sentiment analysis model processes the text.
- Output:
- The application displays the sentiment of the text along with the model's confidence score.
- Hugging Face Transformers: The pre-trained sentiment analysis pipeline is powered by the Hugging Face Transformers library.
- Gradio: Provides a simple, interactive web interface for user input and output.
- Python: Programming language used to implement the app.
- Text: A sentence or text that you would like to analyze for sentiment.
- Sentiment Label: The sentiment of the input text (Positive, Negative, or Neutral).
- Confidence Score: The model’s confidence in its sentiment classification, rounded to two decimal places.