tubelearns 1.1.5

Python script for extracting,cleaning and tokenization YouTube video transcripts for Pre-Processing in machine learning.

Tube-Data: YouTube Video Transcript Extractor

Tube-Data is a Python script designed for extracting and cleaning YouTube video transcripts for preprocessing in machine learning. This versatile tool streamlines the process of acquiring high-quality text data from YouTube videos, making it ideal for various natural language processing tasks, sentiment analysis, speech recognition, and more.

Features

• Extracts video transcripts from YouTube videos.
• Saves cleaned transcripts into separate text files.
• Supports individual video URLs, batch processing from a list of URLs, and entire playlists.
• Streamlines the dataset collection process for machine learning applications.
• New Feature: Tokenization and Punctuation Removal for text preprocessing and cleaning.

Installation

You can install the required dependencies using pip:

pip install tubelearns

Usage

Extract Transcripts from a List of Video URLs

from tubelearns import text_link

# Provide a path to a text file containing YouTube video URLs.
text_link('path_to_file.txt', name='output_folder_name')

Extract Transcript from a Single Video URL

from tubelearns import url_grab

# Provide a single YouTube video URL.
url_grab('video_url', name='output_folder_name')

Extract Transcripts from a YouTube Playlist

from tubelearns import playlist_grab

# Provide the URL of a YouTube playlist.
playlist_grab('playlist_url', name='output_folder_name')

Cleaning and Punctuation Removal

from tubelearns import Cleaning

# Initialize the Cleaning class
cleaner = Cleaning()

# Clean and remove punctuation from text
content = "Hey! hope you good"
cleaned_text = cleaner.punct_raw(content)
print(cleaned_text)

Tokenization

from tubelearns import Tokenization

# Initialize the Tokenization class
tokenizer = Tokenization()

# Tokenize text
content = "Hello sam. How are you."
tokenized_text = tokenizer.tokenize_raw(content)
print(tokenized_text)

Development Status

This project is currently in the planning stage.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contributions

Contributions are welcome! Please feel free to open issues or submit pull requests.

Contact

For any inquiries or feedback, please contact KabilPreethamK.