Undergraduate Certificate in AI Text Analysis
-- ViewingNowThe Undergraduate Certificate in AI Text Analysis is a comprehensive course designed to equip learners with essential skills in AI text analysis. This certificate course is crucial in today's digital age, where businesses generate vast amounts of text data daily.
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⢠Introduction to Artificial Intelligence: Origins, concepts, and applications of AI
⢠Natural Language Processing (NLP): Text preprocessing, tokenization, stemming, and lemmatization
⢠Machine Learning (ML): Supervised, unsupervised, and reinforcement learning
⢠Deep Learning (DL): Neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs)
⢠Text Classification: Naive Bayes, logistic regression, and support vector machines (SVM)
⢠Text Clustering: K-means, hierarchical clustering, and DBSCAN
⢠Sentiment Analysis: Aspect-based sentiment analysis, emotion detection, and opinion mining
⢠Named Entity Recognition (NER): Identifying and categorizing entities in text data
⢠Topic Modeling: Latent Dirichlet Allocation (LDA), Non-negative Matrix Factorization (NMF), and BERTopic
⢠Ethical Considerations: Bias, fairness, transparency, and privacy in AI text analysis
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