analyse.py 文件源码

def tweetMeaning(self,term):
        self.dbout = self.searcher(term)

        with open("data/words.json") as filedata:
            self.wordList = json.load(filedata)

        threading.Thread(target=self.dis.spinner, args=("Analysing Tweets ",)).start()
        self.tweetList = []
        for self.i in self.dbout:
            self.procounter = 0
            self.negcounter = 0
            for self.word in nltk.word_tokenize(self.i["tweet"]):
                #print("Analysing word: "+self.word)
                try:
                    if nltk.PorterStemmer().stem(self.word) in self.wordList["good"]:
                        #print("Found good world")
                        self.procounter = + 1
                    if nltk.PorterStemmer().stem(self.word) in self.wordList["bad"]:
                        #print("Found bad world")
                        self.negcounter = + 1
                    # if nltk.PorterStemmer().stem(self.word) in self.wordList["swear"]:
                    #     print("Found bad world")
                    #     self.negcounter = + 1
                    else:
                        self.neucounter = + 1
                except IndexError:
                    print("Ignoring tweet:",self.i["tweet"])

            self.view = "unknown"
            if self.procounter > self.negcounter:
                self.view = "pro"
            if self.negcounter > self.procounter:
                self.view = "neg"
            self.tweetDict = {
                "id": self.i["_id"],
                "tweet": self.i["tweet"],
                "procount": self.procounter,
                "negcount": self.negcounter,
                # "view":"pro" if self.procounter > self.negcounter else "neg"
                "view": self.view
            }
            self.tweetList.append(self.tweetDict)
        self.dis.stop()
        return self.tweetList

    # This method gets the poll data from the JSON file it is 
    # stored in, ii then adds them up to get a total.