Calculating sentiment scores
A rough measure of sentiment towards a particular hashtag is to measure average sentiment for tweets mentioning a particular hashtag. It's also possible that other things are happening in that tweet, so it's important to inspect both text as well as metrics generated by automated text methods.
This exercise is part of the course
Analyzing Social Media Data in Python
Exercise instructions
- Print out the first example of a positive tweet. Select the DataFrame with
sentiment > 0.6and use.valuesto get the full text of the tweet. - Do the same for negative tweets with the index
sentiment < -0.6. - Generate average sentiment score per day for
#pythonwith the indexcheck_word_in_tweet. Use.resample()with argument'1 d'. Then take the mean. - Do the same with
#rstats.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Print out the text of a positive tweet
print(ds_tweets[____]['text'].____[____])
# Print out the text of a negative tweet
print(____[____]['text'].____[____])
# Generate average sentiment scores for #python
sentiment_py = sentiment[____(____, ____)].____(____).____()
# Generate average sentiment scores for #rstats
sentiment_r = ____[____].____(____).____()