SentimentAnalysis

Introduction:

The Sentiment Analysis Tool is designed to perform sentiment analysis on social media posts. Users can upload a CSV file containing social media captions, and the tool will classify them as Positive, Negative, or Neutral based on sentiment scores.

Features:

1. Sentiment Analysis: Analyzes the sentiment of each caption in the CSV and classifies it as Positive, Negative, or Neutral.
2. Results Display: Shows the number of captions under each sentiment category in the output box.

Prerequisites:

Software:

1. Python: Ensure you have Python installed.

Python Libraries:

Ensure the following Python libraries are installed:

1. tkinter - For the GUI interface.
2. pandas - Data manipulation and analysis.
3. textblob - Natural language processing tasks.

You can install them using pip:

pip install pandas textblob

(Note: tkinter is included with most standard Python installations.)

How to Run:

1. Save the provided Python script to a file, for example, sentimentAnalysis.py.
2. Open your terminal or command prompt.
3. Navigate to the directory where you saved the file.
4. Run the command:

python sentimentAnalysis.py

Conclusion:

The Sentiment Analysis Tool provides a seamless way to perform sentiment analysis on social media posts.