search.py 文件源码

def sentimentanalysis(self, text_):
        """
           Does sentiment analysis using SQLAlchemy API
        """
        alchemyapi = AlchemyAPI()
        # import ipdb; ipdb.set_trace()
        if "" in text_.keys() and len(text_) < 2:

            print "No tweets to analyse were found!!"
        else:
            response = alchemyapi.sentiment("text", text_)
            sentrep = response["docSentiment"]["type"]
            lst = [sentrep]

        prettytable = PrettyTable(['Sentiment Type'])

        t = prettytable.add_row(lst) 

        print prettytable