GitHub topics: youtube-comments

Repositories

egbertbouman/youtube-comment-downloader

Simple script for downloading Youtube comments without using the Youtube API

Language: Python - Size: 60.5 KB - Last synced at: about 20 hours ago - Pushed at: 10 months ago - Stars: 1,053 - Forks: 241

mattwright324/youtube-comment-suite

Download YouTube comments from numerous videos, playlists, and channels for archiving, general search, and showing activity.

Language: Java - Size: 2.83 MB - Last synced at: 4 days ago - Pushed at: 7 months ago - Stars: 286 - Forks: 48

Vis7044/RedesAI

An AI platform for analyzing social media comments using NLP techniques to classify sentiments, detect emotions, and extract actionable insights.

Language: JavaScript - Size: 5.59 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 5 - Forks: 1

santhoshse7en/utuby

simple script for downloading Youtube comments without using the Youtube API

Language: Python - Size: 15.6 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 4 - Forks: 3

yhotta240/youtube-comment-position-extension

YouTubeのコメント欄の位置を変更できるChrome拡張機能

Language: JavaScript - Size: 413 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

sigvt/masterchat

💬 Get full access to YouTube Live Chat

Language: TypeScript - Size: 4.23 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 76 - Forks: 20

esentis/youtube_comment_picker

Search comments on a YouTube video !

Language: Dart - Size: 199 KB - Last synced at: 8 days ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0

romanmicuda/youtube-comments-web

YouTube Comment Sentiment Analyzer is a web application that leverages a trained PyTorch model to evaluate the sentiment of YouTube comments. It provides users with real-time analysis, categorizing comments as positive, neutral, or negative, and displays the associated probabilities.

Language: TypeScript - Size: 2.47 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

fifoqueue/oyster-collector

YouTube API를 사용하여 특정 영상의 모든 댓글, 답글을 받아옵니다.

Language: JavaScript - Size: 48.8 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

coskundeniz/youtube-comments-sentiment-analyzer

YouTube comments sentiment analyzer tool

Language: Python - Size: 1.21 MB - Last synced at: about 8 hours ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 5

JaidenSupport/BypassYouTubeCommentFilter

bypass youtube comment filter with unicode

Language: HTML - Size: 8.79 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 1

Suraj-Sedai/YouTube-Comment-Sentiment-Analysis

Analyze live YouTube comments from a given video URL and determine their sentiment (Positive, Neutral, or Negative).

Language: Jupyter Notebook - Size: 59.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

StudiYash/DweshaMukt

DweshaMukt leverages BERT and deep learning to detect hate speech in Hinglish, Hindi, and English across text, audio, video, images, GIFs, and YouTube comments. With real-time analysis, emoticon detection, and a Streamlit interface, it aims to foster safer online spaces through advanced NLP techniques.

Language: Jupyter Notebook - Size: 194 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

YingtongAamandaWu/Youtube_comments_sentiment_analysis_NLP

Sentiment analysis (NLP machine learning) on YouTube comments of a channel - Outdoor Chef Life.

Language: Jupyter Notebook - Size: 42.1 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

knightron0/tempus

chrome extension to 10x your youtube experience

Language: JavaScript - Size: 788 KB - Last synced at: 21 days ago - Pushed at: 6 months ago - Stars: 60 - Forks: 5

Eemayas/CommentSense

CommentSense is a web application that enhances user interaction on websites by providing a smart and efficient sentiment analysis of the YouTube comments.

Language: TypeScript - Size: 57.1 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 2

baileytnguyen/hackuta2024-finsad-comment-fetch-and-analysis

Python service that fetches Youtube comments using Google cloud API and manages a Mongo DB Database

Language: Python - Size: 1.38 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

boringPpl/presidential-debates-comments-clustering

At the point when we started this project, election week is coming up. There was so much excitement in the air on who is the next US president to be elected. There were thousands of articles on who's leading the polls. The US election has been trending on most, if not all, social media platforms. Being Data scientists, we wonder if it would be possible to leverage on these different data sources to understand various topics of discussion surrounding each candidate. Of which, we have decided to focus on Youtube comments as a starting point for this project.

Language: Jupyter Notebook - Size: 137 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 13 - Forks: 4

ZhengJiawen44/YT_Sentiment_Analyzer

my python package that allows you to perform sentiment analysis on upto 1,000,000 comments on any Youtube video(out now!)

Language: Python - Size: 253 KB - Last synced at: 13 days ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

yobahcorp/youtube-comments-sentiment-analysis

This project applies machine learning to predict sentiment in YouTube comments on a controversial video about "The Chosen" series. We built a Naive Bayes model that achieved 82% accuracy in distinguishing for/against sentiments. Using ANOVA, we found significant differences in engagement between these sentiments, providing insights into on opinions

Language: Jupyter Notebook - Size: 4.34 MB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 1

qequ/youtube-comments-timestamps

Enhance your YouTube experience with a browser extension that allows easy navigation through videos using time markers from comments

Language: JavaScript - Size: 965 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 3

lauravodden/YouTube_Comment_Collector

Use a YouTube channel ID or list of channel IDs to collect data for all videos on those channels. Export to a local CSV file.

Language: Python - Size: 396 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

quimpm/youtube_discussion_tree

This is a python API that allows you to obtain the discusion that occurs on the comments of a Youtube video as a tree structure. It also controls the quota usage that consumes your implementation over Youtube Data Api through this library, and allows you to represent and serialize the discusion tree.

Language: Python - Size: 1.44 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 15 - Forks: 0