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natural-language-processing

Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.

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This project leverages Python and natural language processing to perform sentiment analysis on YouTube comments. It uses the YouTube Data API for data collection, cleans and preprocesses text data, classifies sentiments as positive, negative, or neutral, and visualizes the sentiment distribution with matplotlib. Deployment instructions for the sent

  • Updated Jul 7, 2024
  • Jupyter Notebook

This repository hosts BonyadAI, a Persian question answering AI Model. We developed an initial web crawler and scraper to gather the dataset. The second phase involved building a machine learning model based on word embeddings and NLP techniques. This AI model operates end-to-end, receiving user voice input and providing responses in Persian voice.

  • Updated Jul 7, 2024
  • Jupyter Notebook

Created by Alan Turing

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