Sentiment-Analysis

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

Synopsis

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.