Text Mining and Word Cloud Assignment
Step 1: Create a text file•Find a transcript of a presidential speech (or any speech at least 1 page long/800 words) and save it as a text file.
For example: Donald Trump Rally Speeches from Kaggle: https://www.kaggle.com/christianlillelund/donald-trumps-rallies
Step 2 : Install and load the required packages in R•tm # for text mining•SnowballC # for text stemming•Wordcloud # word-cloud generator •RColorBrewer # color palettes
Step 3 : Text mining•load the text in R•Load the data as a corpus•Cleaning the text
Step 4 : Build a term-document matrix
Step 5 : Generate the Word cloud
Step 6: Plot word frequencies (use bar plot)
Step 7: Save and submit your workas follows:
A.Save each of the scripts you have used in R as a text file (Project_Assignment_Scripts.txt)
B.Take screenshots of all steps in R, and make sure you put them in your MS-Word report. (Word_Crowd_Report.docx)
C.Summarize what you have understood by looking at the resulting word crowd and the bar chart.
D.Format your word document professionally (use a cover page also).
E.Submit your work on itslearning using the Project_Assignment_Part1 link. (2 files: 1 text file containing your scripts and 1 MS-word file showing your word crowd and bar chart with your analysis of the speech). You can also submit the text file of the speech you saved in step 1
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