CODEWITHSUNDEEP
rquanteda
Jennifer
Jennifer

Reputation: 295

Tokenize Text and Analyze with Dictionary in Quanteda

I am trying to do a text analysis using the quanteda packages in R and have been successful in gaining the desired output without doing anything to my texts. However, I am interested in removing stopwords and other common phrases to rerun the analysis (from what I am learning in other sources -- this process is called "Tokenizing"(?)). (The instructions are from https://data.library.virginia.edu/a-beginners-guide-to-text-analysis-with-quanteda/)

With the processed text, which I was able to do using the instructions and the quanteda package. However, I am interested in applying a dictionary for analyzing the text. How can I do that? Since it is hard to attach all my documents here, any hints or examples that I can apply would be helpful and greatly appreciated.

Thank you!

Upvotes: 0

Views: 252

Answers (1)

em_likefrom007
em_likefrom007

Reputation: 86

i have used this library with great success and then merged by word to get the score or sentiment. Merge by word

library(tidytext)

get_sentiments("afinn")
get_sentiments("bing")

you can save it as a table 

table <- get_sentiments("afinn")

total <- merge(data frameA,data frameB,by="ID")

Upvotes: 2

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