Naive Bayes + Sentiment Classification + Python

download source code @ https://sites.fastspring.com/prototypeprj/instant/ai

• Naive Bayes + Sentiment Classification + Python (Prototype Project 01)

  • App. uses the bag-of-words sentiment classification: this model is commonly used in methods of document classification where, for example, the (frequency of) occurrence of each word is used as a feature for training a classifier

  • App. uses add-1 Laplace smoothing: Laplace Smoothing, i.e. “add-one smoothing,” smooths maximum likelihood estimates by adding one count to each event

  • Download source code @ https://sites.fastspring.com/prototypeprj/instant/ai

• Naive Bayes + Sentiment Classification + Python + SQLite (Prototype Project 02)

  • refactor Naive Bayes + Sentiment Classification + Python (01)

  • add db + file storage + retrieval functionality

  • Download source code @ https://sites.fastspring.com/prototypeprj/instant/ai