sentiment.py 文件源码

def ment(text):
        try:
            doc = pickle.load(open("pickle/doc.pickle", "rb"))
        except:
            print("Pickles missing!                                           ")
            print("Program will now constuct pickles, this may take some time.")
            trainClassifier().train()
            doc = pickle.load(open("pickle/doc.pickle", "rb"))
        wordFeat = pickle.load(open("pickle/wordFeat.pickle", "rb"))
        featSet = pickle.load(open("pickle/featSet.pickle", "rb"))
        ONB = pickle.load(open("pickle/ONB.pickle", "rb"))
        MNB = pickle.load(open("pickle/MNB.pickle", "rb"))
        BNB = pickle.load(open("pickle/BNB.pickle", "rb"))
        LR = pickle.load(open("pickle/LR.pickle", "rb"))
        LSVC = pickle.load(open("pickle/LSVC.pickle", "rb"))
        SGDC = pickle.load(open("pickle/SGDC.pickle", "rb"))

        vote = sent(ONB,MNB,BNB,LR,LSVC,SGDC)
        feats = sent().featureFind(text,wordFeat)
        out = (vote.conf(feats))*100
        # out = str(out)+"%"
        return vote.classify(feats),out