This repository contains the code and resources for analyzing YouTube comments using Natural Language Processing (NLP) techniques.
YouTube NLP Comment Analysis is a project that aims to extract sentiment and gain valuable insights into the overall perception and sentiment of viewers towards specific videos. By utilizing NLP techniques, we can analyze user-generated comments on YouTube and understand the sentiment expressed by viewers.
- Collect YouTube comments using the web scraping techniques.
- Preprocess comments by removing noise, such as special characters, URLs, and excessive punctuation.
- Perform sentiment analysis using lexicon-based methods or machine learning algorithms.
- Visualize sentiment patterns using bar charts
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Clone the repository:
git clone https://github.com/jpkrajewski/youtube-nlp-comment-analysis.git
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Run Docker-Compose
cd youtube-nlp-comment-analysis; docker compose up --build
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Go to localhost:8000
The project generates visualizations and reports that provide insights into the sentiment patterns of YouTube comments. These include:
Bar charts showing sentiment distribution, categorizing comments as negative, neutral, or positive.
