I'm new to ML. I'm taking over a Classification project which involves analyzing data for customers which returned a product and I need to determine the return reason (~10 categories). This data was captured at the counter, and could include words like: LGTM (Looks good to me) NFF (No fault found), etc.I have a training set of 1000 records and when using Google Prediction API I get a classificationAccuracy value of 0.82 and 10 labels.Questions:1. Any recommended API to analyze this type of data?.2. What is a good  classificationAccuracy value?Thank you
Analyzing customer response
machine learning;data mining;classification;google prediction api
http://scikit-learn.org/stable/tutorial/text_analytics/working_with_text_data.htmlYou can use the above tutorial to get acquaintance with text classification. Afterwards it should be easier to formulate nontrivial questions to move even further.