Building a Machine Learning Pipeline For NLP
Discover the power of Natural Language Processing (NLP) and Sentiment Analysis in this project. Learn how to determine the emotional tone of movie reviews using rule-based methods and Machine Learning. Utilize pandas, sklearn, and NLTK to load, analyze, process, and classify text. Enhance your understanding of AI and customer feedback analysis.
Natural language processing (NLP) is a part of artificial intelligence concerned with understanding written text. Sentiment analysis is an important part of NLP that identifies the emotional tone behind a body of text and is used in customer reviews and survey responses, online and social media. In this project, you will determine the sentiment of movie reviews as positive, negative, and neutral with the rule-based method, then use Machine Learning. You will use pandas to load and analyze data and sklearn to process and classify the text and work with other libraries like NLTK.
User Reviews
Be the first to review “Building a Machine Learning Pipeline For NLP”
You must be logged in to post a review.
There are no reviews yet.