courseraАнализ данных

NLP: Twitter Sentiment Analysis

Курс от Coursera

Начальный≈ 2.3 чАнглийский

О курсе

In this hands-on project, we will train a Naive Bayes classifier to predict sentiment from thousands of Twitter tweets. This project could be practically used by any company with social media presence to automatically predict customer's sentiment (i.e.: whether their customers are happy or not). The process could be done automatically without having humans manually review thousands of tweets and customer reviews. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Навыки, которые вы освоите

Model Evaluation Text Mining Natural Language Processing Model Training Predictive Analytics Automation Scikit Learn (Machine Learning Library)Exploratory Data Analysis Machine Learning Data Analysis Data Cleansing Classification Algorithms Probability & Statistics Applied Machine Learning Python Programming Data Preprocessing Social Media Analytics

Программа курса

1 модулей · 4 учебных материалов

01Twitter Sentiment Analysis4 материалов

Twitter Sentiment Analysis

Project-based Course OverviewЧтение NLP: Twitter Sentiment AnalysisЛабораторная Graded Quiz: Test your Project UnderstandingЗадание NLP: Twitter Sentiment Analysis

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Dr. Ryan Ahmed

Professor & AI Expert (1M+ Students)