Application made for youtube content creators to know their reviews separately as positive and negative comments.
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Updated
Feb 3, 2023 - Python
Application made for youtube content creators to know their reviews separately as positive and negative comments.
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
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.
Download Comments from Youtube Video without difficulty, build and deploy using Streamlit. Based on Youtube-comment-downloader library.
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.
You can extract YouTube comments using Selenium. (username, comment) and It can be saved as txt,xlsx file. (default:xlsx)
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.
YouTube Yorum Çekme Botu Python Selenium
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