Game-Review-Sentiment-Analyzer-1.0

August-December 2021

Created Using Python 3.10

Flask, NLTK, vaderSentiment, pandas,

How To Run GRSA 1.0 From PowerShell(Windows):

1. Preparing your environment.
   • https://www.python.org/downloads/ Install Python version 3.10
   • In start menu, type powershell.
   • Open Powershell.
   • Install the required modules using the Powershell cmdlets:
     • "pip install flask"
     • "pip install pandas"
     • "pip install vaderSentiment"
     • "pip install requests"
2. Download the program files from Github.
   • Click on the green "Code" button and selecting "Download ZIP".
   • Place the folder containing GRSA 1.0 files where you want it to be housed on your computer.
   • Right-click on the zipped folder and select "Extract All". Click "Extract".
   • If you get an error or don't see the Extract option, you may need to install 7zip: https://www.7-zip.org/.
3. Start the program:
   • Select the app.py file in the GRSA 1.0 folder on your desktop. Right-click and open "properties".
   • Copy the "Location" field from this properties information.
   • In Powershell type "Python " <-- Don't forget to add the space after "Python".
   • Press ctrl+v to add program location.
   • Type "\app.py" after the program location.
   • Hit Enter to run the program.
4. Using GRSA 1.0
   • In your browser type "localhost:5001" to access the User Interface.
   • Copy/paste the URL from the game you're interested in from the Valve store website: https://store.steampowered.com/ into the URL field of the GRSA user interface.
   • Click Submit.

FAQs:

1. How did we score the user sentiments: The overall sentiment score we translated into a 1-10 numbered scale modeled after the scoring system used by destructoid.com reviewers found here: https://www.destructoid.com/the-official-destructoid-review-guide/. Our translated scale is as follows:

   • Score Description
   • 1 Failure: This game was created with or requires no depth and no talent.
   • 2 Bad: Any good this game had is quickly swallowed up by a plethora of issues.
   • 3 Poor: Somewhere this game went wrong. The original idea might have had promise, but in practice it failed.
   • 4 Below Average: This game may have its high points but they soon give way to its glaring faults.
   • 5 Mediocre: This game is an excercise in apathy. Neither hot nor cold. Simply medicore.
   • 6 It's okay: This game is slightly above average, or else just inoffensive.
   • 7 Good: There could be some irritating faults to the game, but overall it's fun to play.
   • 8 Great: Game devs made an impressive effort. The game has few noticable problems. It may not be everyone's cup of tea, but many will enjoy it.
   • 9 Superb: This game is the hallmark of excellence. It might have a few flaws but they are negligable.
   • 10 Flawless: This game is as perfect as you can get in its given genre.

2. What is natural language processing?

3. How does this project use NLTK differently?

4. What is a lexicon?

References:

""" Hutto, C.J. & Gilbert, E.E. (2014). VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text. Eighth International Conference on Weblogs and Social Media (ICWSM-14). Ann Arbor, MI, June 2014. """