In the previous post we discussed which models we tried for sentiment classification and which one has demonstrated the best performance. In this post we’ll show you how to visualize our under-the-hood findings so that others can see the results of our analysis.
Latest Blog Post
Plus/minus sentiment analysis using a Naive or Logistic Regression model, and how to evaluate which one is right for your system and data analysis needs.
Use our demo Twitter stream analytics app to learn the difference between good and bad training and test data sets; learn about natural language processing.
Post 4: Constructing a data dictionary for Twitter stream sentiment analysis of Social Movie Reviews
Finding dictionaries & lexicons for Twitter stream analysis, using our demo Social Movie Reviews app as an example. Also covers stemming and root word analyses
Post 3: Understanding the structure of the data in Twitter streams for sentiment analysis applications
Learn about stream analysis using dictionaries, training and test datasets, and how to form hypotheses to isolate valuable data and produce useful results.
What does the data science process look like? Learn the CRISP-DM methodology data scientists use for sentiment analysis and opinion mining projects
This data science toolkit series provides a thorough guide to machine learning techniques for developers using twitter sentiment analysis as a teaching example.