Sentiment Analysis using Python

This is a sentiment analysis python script that uses Natural Language Toolkit (nltk), Langauge Detection (langdetect) and Google Translate (googletrans) to process textual feedback data.

Prerequitites

1. You will have to have python 3.11 installed on your computer. Download: https://www.python.org/downloads/
2. Make sure that the path value has been set for python: Guide: https://realpython.com/installing-python/
3. You will have to install the required libraries used in this script.

   On the command line, type this command to download and install libraries (ps: multiprocessing library is preinstalled with Python): pip install nltk langdetect googletrans spellchecker

Lets check if our environment is setup properly: https://realpython.com/installing-python/#how-to-check-your-python-version-on-windows

How to use it?

Very simple:

1. Fork this repository so that you can save it to your profile
2. Download clone the repo on your computer
3. Open VS Code and open/navigate to the cloned repo on your computer
4. On the terminal, provide this command and hit enter (vals in <> indicate areguments, do not include the symbols <>):

   python sentiment_analysis.py <csv_file_path> <text_column_name> <output_prefix> <limit_rows:-y/-n> a. csv_file_path: relative file path to csv containing data to be processed. b. text_column_name: the name of the column/header containing the textual data to be processed. c. output_prefix: this is the prefix/title that will be appended to the start of the name of the output file. d. limit_rows: this is the switch to limit the rows to be processed to 100 and is used for debugging the script. Use -y for yes and -n for no.

5. The script will process the data and provide outputs on the terminal.
6. Processing speed is dependedent on internet connection, cpu cores & computer specs, and # and intensity of processes running on your computer.