title: Syuzhet package in R to analyse reviews grouped by review id
body: <p>(Apologies in advance if this request isn't so clear)</p>
  <p>  I have a dataset with reviews corresponding to a special review id. Sample data below:</p>
  <pre><code>review_id &lt;- c(“654371”, “654372”, “654373”)
  review_text &lt;- c(“I like pickles”, “I don’t like pickles”, “pickles are the worst”)
  review_df &lt;- data.frame(review_id, review_text)
  </code></pre>
  <p>I want to use the <code>syuzhet</code> package to score the sentiment of each review, grouped by it’s review id, and have each of sentiments as variables joined as a left join on to the dataset.   I am a bit confused how this works with <code>syuzhet</code> as I understand it creates a sentiment score for each sentence, unlike <code>sentimentr</code> which can analyse a whole passage of text. Would I need to unlist each sentence for each review, create a score and generate an average sentiment score for each review? The dataset has about 4,000 observations and the reviews can be pretty lengthy...perhaps I am overthinking although any help at all or point in the right direction would be helpful.</p>
  <p><a href="https://stackoverflow.com/questions/62575615/apply-sentimentr-on-dataframe-with-multiple-sentences-in-1-string-per-row">This question</a> using <code>sentimentr</code> is similar what I am seeking to do, but with the syuzhet package. Anyhelp at all would be appreciated.</p>