| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| |
| import math,sys |
| import pickle; |
| import sklearn; |
| import os; |
| class TweetSent(object): |
| |
| def __init__(self): |
| |
| pickle_path = os.path.join(os.path.dirname(__file__), 'sentiment_pipeline3') |
| f = open(pickle_path,'rb') |
| self.pipeline = pickle.load(f) |
| f.close() |
| |
| def sentiment(self, *args): |
| return self.pipeline.predict(args[0])[0].item() |