__chatcheck.py 文件源码

def respond(sentences):
    tokenized_sentence = sent_tokenize(sentences)
    stop_words = set(stopwords.words("english"))  # Getting the stop words from the Local DB
    if len(tokenized_sentence) > 1:  # if the length of the tokenized sentence is greater than one

        # for sentence in tokenized_sentence:
        #     words = word_tokenize(sentence)  # Each word is tokenized
            pos_tagged = parts_of_speechtag(sentences)
            print(tuple(pos_tagged))
            # filtered_words = [w for w in words if w not in stop_words]  # removing the additional stop words for
            # portStemer_object = PorterStemmer()
            # filtered_steam_words = [portStemer_object.stem(w) for w in filtered_words]
            # return filtered_steam_words
    else:
        pos_tagged = parts_of_speechtag(sentences)
        print(type(pos_tagged))
        # words = word_tokenize(sentences)
        # filtered_words = [w for w in words if w not in stop_words]
        # portStemer_object = PorterStemmer()
        # filtered_steam_words = [portStemer_object.stem(w) for w in filtered_words]
        #return filtered_steam_words