Quick review of Google reviews

You decide to create a comparison.cloud() of Google's positive and negative reviews for comparison to Amazon. This will give you a quick understanding of top terms without having to spend as much time as you did, examining the Amazon reviews in the previous exercises.

We've provided you with a corpus all_goog_corpus, which has 500 positive and 500 negative reviews for Google. Here, you'll clean the corpus and create a comparison cloud comparing the common words in both pro and con reviews.

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Text Mining with Bag-of-Words in R

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Instrucciones del ejercicio

The all_goog_corpus object consisting of Google pro and con reviews, is loaded in your workspace.

Create all_goog_corp by cleaning all_goog_corpus with the predefined tm_clean() function.
Create all_tdm by converting all_goog_corp to a term-document matrix.
Create all_m by converting all_tdm to a matrix.
Construct a comparison.cloud() from all_m. Set max.words to 100. The colors argument is specified for you.

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Prueba este ejercicio completando el código de muestra.

# Create all_goog_corp
___ <- ___

# Create all_tdm
___ <- ___

# Create all_m
___ <- ___

# Build a comparison cloud
___(___, 
    max.words = ___, 
    colors = c("#F44336", "#2196f3"))

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