Dream Analysis

This project is a Python port of a MATLAB script designed to analyze dream journals. It performs text preprocessing, generates word clouds, calculates word frequencies, and performs sentiment analysis.

Features

• Text Preprocessing: Tokenization, lemmatization, stop word removal, and filtering.
• Word Cloud: Visual representation of the most frequent words.
• Frequency Analysis: Bar chart of the top 20 words.
• Sentiment Analysis: Uses VADER to determine the emotional tone of the text.

Prerequisites

• Python 3.x

Installation

1. Clone the repository or download the files.

2. Install the required Python packages:

   pip install -r requirements.txt

   Note: The script will automatically download necessary NLTK data (stopwords, wordnet, etc.) on the first run.

Usage

1. Run the script:

   python dreams_analysis.py

2. The application window will open.

3. Click "Load Dream File" and select your text file (e.g., dreams_sample.txt or your own dreams.txt).

4. Explore the tabs:

   • Word Cloud: Visual representation of the most frequent words.
   • Word Frequency: Bar chart of the top 20 words.
   • Statistics & Sentiment: Detailed word counts and sentiment analysis scores.

File Structure

• dreams_analysis.py: The main Python script.
• requirements.txt: List of dependencies.
• dreams.txt: Input file containing your dream text (you need to create this).