August 2017
Intermediate to advanced
288 pages
8h 6m
English
Content preview from R Deep Learning Cookbook
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How it works...
As mentioned earlier, we have used Jane Austen's famous novel Pride and Prejudice in this section, detailing the steps involved in tidying the data, and extracting sentiments using (publicly) available lexicons.
Steps 1 and 2 show the loading of the required cran packages and the required text. Steps 3 and 4 perform unigram tokenization and stop word removal. Steps 5 and 6 extract and visualize the top 10 most occurring words across all the 62 chapters. Steps 7 to 12 demonstrate high and granular-level sentiments using two widely used lexicons bing and nrc.
Both the lexicons contains a list of widely used English words that are tagged to sentiments. In bing, each word is tagged to one of the high level binary sentiments (positive ...