Sentiment Analysis in Python with NLTK

In this video, we'll explore the fascinating world of Natural Language Processing (NLP) using Python's Natural Language Toolkit (NLTK). We'll perform sentiment analysis on YouTube video comments, starting by importing necessary libraries and loading our dataset. After familiarizing ourselves with the data, we'll dive into NLTK for tokenization and then use the RoBERTa model to capture the sentiment behind the comments. By the end, you'll see how to analyze text to determine whether comments are positive, neutral, or negative.

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Sentiment Analysis in Python with NLTK

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