https://github.com/jaybfn/text_classification

https://github.com/jaybfn/text_classification

Last synced: about 1 year ago
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• Host: GitHub
• URL: https://github.com/jaybfn/text_classification
• Owner: jaybfn
• License: mit
• Created: 2022-01-27T22:11:41.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2022-07-19T06:55:04.000Z (almost 4 years ago)
• Last Synced: 2025-01-05T17:12:51.196Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 1.8 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Text_Classification

# ______________________________________________________________

# Classifying Artist's lyrics using Supervised Machine Learning

![alt picture](https://github.com/jaybfn/Text_Classification/blob/main/Flowchart.jpg)

# Steps:

#### 1. In this project I am extracting lyrics of 6 artists ['Eminem','Jay-Z','Justin-Timberlake','50-Cent','Bob-Marley','Michael-Jackson'] from lyrics.com (# of artist can be          any length) and classify using Supervised Machine Learning Models.

#### 2. In this project I have two python scripts ‘cli_get_lyrics.py’and‘Lyrics_Classification_RFC_25Dec2021’

#### 3. Libraries used:

  #### 1. cli_get_lyrics.py (web scraping protocols)

  * Requests

  * re

  * os

  * pandas

  * argparser

  * sys

  * BeautifulSoup

  #### 2. Lyrics_Classification_RFC_25Dec2021.ipynb (ML model)

  * Pandas

  * Numpy

  * Sklearn

  * Nltk

  * String

  * re

  * os

#### 4. For scraping lyrics please run 'cli_get_lyrics.py' on your command line interface.

#### Eg: type the below line on your command line interfaces with path where your python file is located.

  * python cli_get_lyrics.py 6 Eminem Jay-Z Justin-Timeberlake 50-Cent Bob-Marley Michael Jackson

  * If you just run the file without giving any input arguments, then the code would function with its default values stored

  default val: number of artist is "1" and name of the artist is "Akon".

  * the file 'cli_get_lyrics.py' required two input arguments to function.

  * number of artists to be scrapped (in my case I have 6)

  * name of the artists as mentioned on the lyrics.com (Eminem Jay-Z Justin-Timeberlake 50-Cent Bob-Marley Michael Jackson)

  * Once scrapped, the program will store all the lyrics as .txt file in individual folder with artist names

  * eg: I scrapped 100 songs from Akon, so there will be a folder with name Akon and 100 lyrics stored in it.

  * the program takes cares of all the duplicate file name and repeated lyrics.

  * to abort the program in between press ctrl + c to interrupt.

#### 5. Once all the lyrics are scrapped! Next, open Lyrics_Classification_RFC_25Dec2021.ipynb

  * this code required two input arguments:

  * folders = ['Eminem','Jay-Z','Justin-Timberlake','50-Cent','Bob-Marley','Michael-Jackson']

  * base_url = r"Paste your file path here"

#### 6. It is important to know that this model is optimized for the above artists only. Feel free to optimize while using different artists.