/sentiment-analysis-of-youtube-comments

This repository contains code for analyzing the sentiment of comments on a YouTube video

Primary LanguageJupyter NotebookMIT LicenseMIT

Sentiment Analysis of Youtube Comments

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This repository contains code for analyzing the sentiment of comments on a YouTube video. The code is written in Python and uses the Tensorflow library.

Getting Started

Prerequisites

To run this project, you will need:

  • Python 3.6 or later
  • Tensorflow library
  • Pandas library
  • NumPy library
  • Sklearn library

Installation

  1. Clone this repository to your local machine using the following command:
git clone https://github.com/ekrrems/video-comment-sentiment-analysis
  1. Install the required libraries using pip:
pip install pandas numpy tensorflow numpy sklearn

Configuration

To access the youtube API, you need to create a Google account, login to Google Cloud Console and create a new project that uses Youtube Data API v3. With the given API key you can configure the project. Only thing you need other than that is a youtube video url.