Facebook Posts Sentiment Analysis

This project analyzes the sentiment of your Facebook posts and visualizes the results using a histogram.

How It Works

1. Connect to Facebook:

   • The code connects to the Facebook Graph API using an access token to access your Facebook data.

2. Fetch Your Posts:

   • It retrieves posts from your Facebook profile.

3. Save Posts to a File:

   • The posts are saved into a file named posts.json.

4. Load Posts from the File:

   • The code reads the posts.json file to load the posts back into the program for further processing.

5. Preprocess Text:

   • Each post's text is cleaned by removing special characters and converting all letters to lowercase.

6. Perform Sentiment Analysis:

   • The cleaned-up text is analyzed to determine its sentiment, indicating whether the text is positive, negative, or neutral.

7. Visualize Results:

   • A histogram is created to show the distribution of sentiment scores, helping visualize the overall sentiment of your posts.

Requirements

• Python 3.x
• facebook-sdk
• textblob
• matplotlib

Usage

1. Set your Facebook access token in the code:

   access_token = "YOUR_USER_ACCESS_TOKEN"

2. Run the script:

   python script_name.py

3. The script will:

   • Fetch your Facebook posts
   • Save them to posts.json
   • Load the posts from posts.json
   • Preprocess and analyze the text for sentiment
   • Display a histogram of the sentiment analysis results

Notes

• Ensure you have the required permissions (user_posts) for the access token to fetch your posts.
• The access token must be kept secure and should not be shared publicly.

Example

Here's an example of how the histogram might look:

![Sentiment Analysis Histogram]

License

This project is licensed under the MIT License. See the LICENSE file for details.

This `README.md` file provides a clear and concise explanation of how the project works, the requirements, installation steps, usage instructions, and an example output. Make sure to replace `"YOUR_USER_ACCESS_TOKEN"` with your actual access token and update the repository URL and script name accordingly.