Text Analytics in Marketing

Introduction to Text Analytics in Marketing: A Practical Guide for Students and Researchers.- Textual Data, String Handling, Regular Expressions, and Data Structures.- Obtaining Textual Data for Marketing Analytics, Web Scraping, APIs, and Structured Sources.- Basic Text Analysis, Preprocessing, Bag of Words, TF-IDF, and Exploratory Statistics.- Clustering Text for Marketing Segmentation, Similarity Measures and Grouping.- Text Classification, LDA, KNN, SVM, Neural Networks, and Fast Text.- Topic Modeling for Marketing Insights, Latent Dirichlet Allocation and Structural Topic Models.- Sentiment and Emotion Analysis in Marketing, Lexicons, Machine Learning, and Aspect Based Methods.- Named Entity Recognition and Extractive Summarization.- Word Embeddings and Transformers for Marketing Text Analytics.

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• Probabilidade e Estatística
• Software matemático e estatístico
• Vendas e marketing

Analyzing user-generated content;Text analytics methods in marketing;R program codes for text analytics;Marketing models with R;Social media text analysis;Visualization of marketing data with R;Compression of text data with R;Text-mining for marketing;Text-mining with R