KayvanShah1/usc-csci544-applied-nlp-fall23

USC CSCI544 - Applied Natural Language Processing - Fall 2023 - Prof Mohammad Rostami

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This collection of materials provides practical examples and solutions for various Natural Language Processing tasks. It takes raw text data, like product reviews or news articles, and processes it to extract meaning, categorize sentiment, or identify key entities. Students and practitioners interested in applying machine learning to language understanding would find this valuable.

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Use this if you are a student or learner looking for detailed examples and solutions for common Natural Language Processing problems, from sentiment analysis to named entity recognition.

Not ideal if you are looking for a ready-to-use application or a software library to integrate into a production system.

natural-language-processing machine-learning-education text-analysis sentiment-analysis named-entity-recognition
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Jul 13, 2024

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