Published Feb 22, 2019

Text Mining in R

Explore Julia Silge's journey from academia to data science as she delves into text mining with R, sharing insights on her influential "Text Mining with R" book and the creation of the Tidy Text package. Discover practical applications and community benefits of using R for natural language processing.

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Dexa/Kyle Polich

Text Mining in R

Topics covered

Popular Clips

R for Text

R for NLP

Data Science Journey

Mind-Bending Math

Text Mining with R

Transition to Data Science

Sentiment Analysis Project

Text Mining Journey

Text Analytics Insights

Episode Highlights

Data Science Transition

Text Mining with R

Natural Language Processing Tools

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Named Entity Recognition

Text Mining in R

Topics covered

Popular Clips

Episode Highlights

Data Science TransitionJulia Silge discusses her transition from academia to data science, leveraging her physics and astronomy background. She highlights her early text mining projects, including sentiment analysis of Jane Austen's novels, which led to the development of the Tidy Text package.

Data Science Transition

Text Mining with RJulia Silge discusses her book "Text Mining with R," aimed at R users interested in text mining. She shares insights into the book's structure, designed to guide readers from basic concepts to practical case studies.

Text Mining with R

Natural Language Processing ToolsJulia Silge shares her insights on the benefits of using R for text mining, highlighting its efficiency and robust community support. She discusses the development of the Tidy Text package and its practical applications in her work at Stack Overflow.

Natural Language Processing Tools

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