Download YouTube comments from numerous videos, playlists, and channels for archiving, general search, and showing activity.
YouTube Scraper for effortless public YouTube data collection, including video and channel information.
Application made for youtube content creators to know their reviews separately as positive and negative comments.
YouTube Sentiment Analysis is a web application that analyzes the sentiment of YouTube comments, providing insights into comment sentiment using VADER sentiment analysis and interactive visualizations.
Developed project with intention of understanding of web scrapping, api integration, talking to 3rd party libraries
YouTube API implementation with Meta's Llama 2 to analyze comments and sentiments
Download Comments from Youtube Video without difficulty, build and deploy using Streamlit. Based on Youtube-comment-downloader library.
An AI platform for analyzing social media comments using NLP techniques to classify sentiments, detect emotions, and extract actionable insights.
Scraped YouTube site for video links and other meta-data
I have shared the way how to scrape YouTube video comments, you can use web scraping tools such as Python's Beautiful Soup, youtube-comment-scraper-python, and Selenium. After scrapping the comments you can save it in CSV file by using pandas library.
YouTube Yorum Çekme Botu Python Selenium
simple script for downloading Youtube comments without using the Youtube API
Script that allows you to pull comments using the Youtube API
I implemented data scraping from YouTube comments using a Python script and the Google API key. By leveraging the power of automation, I collected valuable insights from user comments on YouTube videos. This project highlights my proficiency in web scraping, API integration and data analysis.
scrapping data komentar youtube yang berkaitan dengan machine learning dalam bahasa Indonesia sebanyak minimal 100 komentar
This repository contains basic Python projects that demonstrate encoding-decoding, YouTube video management, and Linux basics. These projects were ideated by me and brought to life with the help of AI.
Simple script for downloading Youtube comments without using the Youtube API
Build a model to classify text as positive, negative, or neutral. Apply NLP techniques for preprocessing and machine learning for classification. Aim for accurate sentiment prediction on various text formats.
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