Foundations and Techniques of Text Analysis and Natural Language Processing

The Unit for Data Science and Analytics at ASU Library is thrilled to call for applications for a three-day workshop on text analysis designed for researchers and professionals looking to integrate text analysis techniques and data to their projects. From June 26 to June 28 participants will be introduced to the essentials of text analysis, starting with a quick overview and comparison with Natural Language Processing, NLP.

June 26: Basics of Text Analysis

• Defining text analysis and NLP
• Primary steps in text analysis
• Text preprocessing
• Bag of words approach

June 27: Text analysis with Supervised ML

• OLS, logistic regression, and regularization
• Support vector machines
• K-Nearest Neighbors, KNN

June 28: Text Analysis with Unsupervised and Semisupervised ML

• Latent Dirichlet Allocation, LDA
• Structural Topic Models, STM
• keyATM
• Word embeddings