Text_Analytics_Week5_NEC_Solved
• Using the gutenbergr package, (if the default mirror doesn't work use: hgwells <- gutenberg_download(c(35,36,5230,159), mirror = " • Create bar charts of the top ten words that contribute to the positive and negative sentiment in one of the books. • Produce a Word Cloud of the 100 most common words in the same book.
Connected book
Written for
- Institution
- Text Analytics
- Course
- Text Analytics
Document information
- Uploaded on
- April 18, 2023
- File latest updated on
- August 13, 2023
- Number of pages
- 53
- Written in
- 2022/2023
- Type
- Exam (elaborations)
- Contains
- Questions & answers
Subjects
-
textanalyticsweek5necsolved
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