fjavieralba

def non_overlapping_tagging(sentence, dict, max_key_size):
    """
        Result is only one tagging of all the possible ones.
        The resulting tagging is determined by these two priority rules:
            - longest matches have higher priority
            - search is made from left to right
    """        
    tag_sentence = []
    N = len(sentence)
    if max_key_size == -1:

fjavieralba

import java.util.ArrayList;
import java.util.Arrays;
import java.util.HashMap;

/*
        Result is only one tagging of all the possible ones.
        The resulting tagging is determined by these two priority rules:
            - longest matches have higher priority
            - search is made from left to right
*/

fjavieralba

text = """What can I say about this place. The staff of the restaurant is nice and the eggplant is not bad. Apart from that, very uninspired food, lack of atmosphere and too expensive. I am a staunch vegetarian and was sorely dissapointed with the veggie options on the menu. Will be the last time I visit, I recommend others to avoid."""

splitter = Splitter()
postagger = POSTagger()

splitted_sentences = splitter.split(text)

print splitted_sentences
[['What', 'can', 'I', 'say', 'about', 'this', 'place', '.'], ['The', 'staff', 'of', 'the', 'restaurant', 'is', 'nice', 'and', 'eggplant', 'is', 'not', 'bad', '.'], ['apart', 'from', 'that', ',', 'very', 'uninspired', 'food', ',', 'lack', 'of', 'atmosphere', 'and', 'too', 'expensive', '.'], ['I', 'am', 'a', 'staunch', 'vegetarian', 'and', 'was', 'sorely', 'dissapointed', 'with', 'the', 'veggie', 'options', 'on', 'the', 'menu', '.'], ['Will', 'be', 'the', 'last', 'time', 'I', 'visit', ',', 'I', 'recommend', 'others', 'to', 'avoid', '.']]

fjavieralba

class DictionaryTagger(object):
    def __init__(self, dictionary_paths):
        files = [open(path, 'r') for path in dictionary_paths]
        dictionaries = [yaml.load(dict_file) for dict_file in files]
        map(lambda x: x.close(), files)
        self.dictionary = {}
        self.max_key_size = 0
        for curr_dict in dictionaries:
            for key in curr_dict:
                if key in self.dictionary:

fjavieralba

def value_of(sentiment):
    if sentiment == 'positive': return 1
    if sentiment == 'negative': return -1
    return 0

def sentiment_score(review):    
    return sum ([value_of(tag) for sentence in dict_tagged_sentences for token in sentence for tag in token[2]])

fjavieralba

from difflib import SequenceMatcher

def distance(url1, url2):
    ratio = SequenceMatcher(None, url1, url2).ratio()
    return 1.0 - ratio

fjavieralba

import java.io.IOException;
import java.util.Properties;
import kafka.server.KafkaConfig;
import kafka.server.KafkaServerStartable;
 
 
public class KafkaLocal {
 
	public KafkaServerStartable kafka;
	public ZooKeeperLocal zookeeper;

fjavieralba

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

fjavieralba

Packages

• lxml - Pythonic binding for the C libraries libxml2 and libxslt.
• boto - Python interface to Amazon Web Services
• Django - Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
• Fabric - Library and command-line tool for streamlining the use of SSH for application deployment or systems administration task.
• PyMongo - Tools for working with MongoDB, and is the recommended way to work with MongoDB from Python.
• Celery - Task queue to distribute work across threads or machines.
• pytz - pytz brings the Olson tz database into Python. This library allows accurate and cross platform timezone calculations using Python 2.4 or higher.

Guides

fjavieralba

import logging
import logging.handlers
import sys

if len(sys.argv) < 2:
    print "ERROR: usage: syslog_generator.py <NAME>"
    exit(1)

my_logger = logging.getLogger('MyLogger')
my_logger.setLevel(logging.DEBUG)