case studyclassifying reddit posts data science process overview and step the research goal to solve this text mining exercisewe'll once again make use of the data science process figure shows the data science process applied to our reddit classification case not all the elements depicted in figure might make sense at this pointand the rest of the is dedicated to working this out in practice as we work toward our research goalcreating classification model capable of distinguishing posts about "data sciencefrom posts about "game of thrones without further adolet' go get our data we need to distinguish reddit posts about data science from posts about game of thrones our goalcreating model that does this classification reliably data science process setting the research goal we have no internal data on this internal data retrieving data reddit is the external data source we use we are using praw to access their data api external data data is stored in sqlite stop word filtering data cleansing hapaxes filtering word tokenization term lowercasing data preparation data transformation stemming data labeling we have but single data set combining data word frequencies histogram data exploration visually inspect least and common terms naive bayes most information features model and variable selection data modeling decision trees tree visual inspection model execution document scoring model accuracy model diagnostic and model comparison confusion matrix not part of this but the model can be turned into batch program to score new posts presentation and automation figure data science process overview applied to reddit topic classification case study