📺 YouBot — YouTube Comment Analysis & Chatbot

YouBot is a Streamlit-powered web application designed to help users analyze YouTube video comments using cutting-edge Natural Language Processing (NLP) techniques, including BERTopic and sentiment analysis (VADER & TextBlob).

In addition to exploratory data insights, YouBot features a conversational assistant powered by Google's Gemini 1.5 Flash model, integrated with a Retrieval-Augmented Generation (RAG) pipeline. This allows users to:

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🌐 Live Demo

🖥️ Try the application here:
👉 https://youbot.streamlit.app/

🖥️Read the full article on Medium:

👉 https://medium.com/@sercanteyhani/youbot-understanding-youtube-comments-and-chatting-intelligently-an-engineers-perspective-71fc82164a26

✨ Features

• YouTube Comment Fetching:
  Easily retrieve comments from any public YouTube video by simply pasting its URL.

• Dual Sentiment Analysis:

  • TextBlob: Provides a quick and intuitive sentiment breakdown (positive, neutral, negative).
  • VADER Sentiment: A lexicon and rule-based sentiment analysis tool, especially effective for social media text.
    Visualized with clear bar charts and interactive pie charts.

• Topic Modeling:

  • LDA (Latent Dirichlet Allocation): Uncover prominent themes and topics within the comments.
  • BERTopic: Leverage BERT embeddings to create more coherent and interpretable topics.
    Visualize dominant words for each model using dynamic Word Clouds.

• Comment Trend Analysis:
  See how comment activity evolves over time with a historical comment count chart, including moving averages and peak indicators.

• AI Chatbot (Clario):

  • Powered by Google's Gemini-1.5-Flash model.
  • Ask specific questions about the fetched comments and receive intelligent, context-aware answers.
  • Ideal for quickly extracting information or summarizing common sentiments.

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🛠️ Technologies Used

• Streamlit — For creating interactive web applications.

• Python — The core programming language.

• Pandas — For data manipulation and analysis.

• Requests — For making HTTP requests to the YouTube Data API.

• TextBlob & VADER Sentiment — For sentiment analysis.

• SpaCy & NLTK — For natural language processing (tokenization, stop word removal).

• Gensim (LDA) — For Latent Dirichlet Allocation topic modeling.

• BERTopic — For advanced topic modeling using BERT embeddings.

• Matplotlib, Seaborn, Plotly — For data visualization.

• LangChain — For building the AI chatbot.

• Google Gemini API — Powering the intelligent chatbot responses.

• Google YouTube Data API v3 — For fetching YouTube comments.

  📸 Project Screenshots