Sentiment Analysis with the bag-of-words

As a precursor to research about Sentiment Analysis with Text Classifiers (Naive Bayes, Maximum Entropy, SVM), Sentiment Analysis with bag-of-words was done and Positive / Negative Sentiment was detected with an accuracy of 60%. This is when only unigrams are used. This percentage will be much when bigrams or trigrams are used (in a next blog-post). See the results at:
part 1: http://tinyurl.com/gnlfqqm
part 2: http://tinyurl.com/zcj226q

0 members like this

Comment

You need to be a member of Data Science Central to add comments!

Join Data Science Central

Comment by Michael Singer on February 2, 2016 at 12:51pm: If anyone is interested in learning more about how sentiment analytics is used today, check out the Election Tracker '16 -- powered by OpenText electiontracker.us

learning more about how OpenText used sentiment analytics to create the Election Tracker?