Analyzing sentiment from a collection of journal (or any other) entries.

• Reads journal entries from the data folder and analyzes sentiment via the code in the script folder.
• Sentiment includes the polarity and subjectivity in the content of the journal, as well as a WordCloud diagram.
• Generates results into the results folder.

• The journal entries are made in the data folder, in the file named test_journal.txt
• The delimiter between entries is "---\n" i,e; 3 hyphens followed by a newline.
• The first piece of information in the entry in the date (yyyy/mm/dd) followed by a newline ("\n").
• Then comes the content of the journal.
• Then comes the delimiter before the next entry, and so on.

• Do pip install -r requirements.txt to install the dependencies inside your virtual environment.
• Make entries into test_journal.txt
• Navigate into the script folder.
• Do python3 code.py or python code.py or py code.py
• Head over to the results folder to view your results.
  • There will be 3 PNG files.
  • Polarity score between -1 and +1 that tells how negative or positive the journal's content is.
  • Subjectivity score between 0 and +1 that tells how subjective (closer to 1) or objective (closer to 0) the journal's content is.
  • WordCloud of the most frequently used words in the journal.

You can check out the notebooks folder for better clarity.