Rating 4.05 out of 5 (27 ratings in Udemy)

• Students will be able to extract big text data from different sources for analysis
• Text Pre-processing and understanding different types of text data
• Using most common R packages for text analytics
• Students will be able to create customized word cloud
• Perform corpus analysis
• Perform text summarization techniques
• Perform part of speech tagging
• Carry out Emotion and sentiment analysis
• Understand and use language models
• Perform web scraping for text data (customer reviews from web sites)
• Natural language processing for linguists
• Natural Language processing for computational linguists
• Analyse multilingual text data
• Future trends in NLP and CL