Certificate in Sentiment Classification Analytics: Opinion Analysis
-- ViewingNowThe Certificate in Sentiment Classification Analytics: Opinion Analysis is a comprehensive course that focuses on teaching learners the art of sentiment classification and opinion analysis. This course is vital in today's data-driven world, where businesses rely heavily on customer feedback and opinions to make informed decisions.
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โข Introduction to Sentiment Classification Analytics: Understanding the basics of sentiment analysis, its importance, and applications.
โข Data Collection and Preparation: Gathering and cleaning data for sentiment analysis, including text preprocessing techniques.
โข Natural Language Processing (NLP): Exploring NLP techniques for sentiment classification, such as tokenization, stemming, and lemmatization.
โข Machine Learning Fundamentals: Understanding machine learning algorithms, including supervised and unsupervised learning, for sentiment classification.
โข Deep Learning for Sentiment Analysis: Diving into deep learning techniques, such as recurrent neural networks (RNN) and long short-term memory (LSTM) networks, for sentiment classification.
โข Sentiment Analysis Metrics: Measuring the performance of sentiment classification models, including accuracy, precision, recall, and F1 score.
โข Opinion Analysis Use Cases: Applying sentiment classification analytics to various industries, such as social media monitoring, customer feedback, and brand reputation management.
โข Advanced Sentiment Classification Techniques: Delving into advanced techniques for sentiment analysis, such as aspect-based sentiment analysis (ABSA), emotion detection, and sarcasm detection.
โข Ethical Considerations in Sentiment Analysis: Examining ethical considerations, including data privacy and bias, in sentiment classification analytics.
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