def takeTwitter(idApps, data):
for tweet in data:
tweetContent = db_mysql.escapeString(tweet.text.decode('utf-8'))
tweetDate = tweet.date
tweetId = tweet.id
tweetRetweetCount = tweet.retweets
tweetFacoriteCount = tweet.favorites
tweetHashtags = tweet.hashtags
tweetMentions = tweet.mentions
tweetUser = tweet.username
tweetUserLocation = tweet.geo
if (checkExist(tweetId, "twitter")):
print tweetContent
dataProcess = mainProcess(tweetContent, idApps)
sentiment = dataProcess['sentiment']
# for view counting rule impressi
recordCounting = preprocessing.recordCounting(dataProcess)
arr_word = recordCounting['arr_word']
arr_counted = recordCounting['arr_counted']
arr_score = recordCounting['arr_score']
role_group = recordCounting['role_group']
print tweetUser
print "::" + str(sentiment)
sql = '''INSERT INTO apps_opinion(id_apps, sentiment, content, time, sosmed, tweet_id, tweet_retweet_count, tweet_favorite_count, tweet_hashtags, tweet_mentions, user, tweet_user_location, arr_word, arr_counted, arr_score, role_group)
VALUES ('%d','%s','%s','%s','%d','%s','%d','%d','%s','%s','%s','%s','%s','%s','%s','%s')''' \
% (idApps, sentiment, str(tweetContent), tweetDate, 1, tweetId, tweetRetweetCount, tweetFacoriteCount, tweetHashtags, tweetMentions, str(tweetUser), tweetUserLocation, arr_word, arr_counted, arr_score, role_group)
db_mysql.executeSql(sql)
db_mysql.commit()
def saveComment(data_save):
content = data_save['text_comment']
id_apps = data_save['id_apps']
time = data_save['date']
sosmed = data_save['sosmed']
user = data_save['name']
id_url = data_save['id_url']
keyword = preprocessing.do(content)
dataProcess = impress.play(keyword, id_apps)
sentiment = dataProcess['sentiment']
# for view counting rule impressi
recordCounting = preprocessing.recordCounting(dataProcess)
arr_word = recordCounting['arr_word']
arr_counted = recordCounting['arr_counted']
arr_score = recordCounting['arr_score']
role_group = recordCounting['role_group']
if (checkExists(id_apps, id_url, time)):
print content
print "::" + str(sentiment)
print "==============================="
try:
sql = '''INSERT INTO apps_opinion(id_apps, sentiment, content, time, sosmed, user, arr_word, arr_counted, arr_score, role_group, id_url)
VALUES ('%d', '%s', '%s', '%s', '%d', '%s', '%s', '%s', '%s', '%s', '%s')''' \
% (id_apps, sentiment, str(content), time, sosmed, user, arr_word, arr_counted, arr_score, role_group, id_url)
db_mysql.executeSql(sql)
db_mysql.commit()
pass
except Exception as e:
pass
def checkExist(id, sosmed):
if (sosmed == "twitter"):
sql = 'SELECT * FROM apps_opinion WHERE tweet_id="' + str(id) + '"'
db_mysql.executeSql(sql)
data = db_mysql.fetch('one')
if (data == None):
return True
return False
def checkExists(id_apps, id_url, time):
sql = 'SELECT * FROM apps_opinion WHERE id_apps=' + str(
id_apps) + ' AND id_url="' + str(id_url) + '" AND time="' + str(
time) + '"'
db_mysql.executeSql(sql)
data = db_mysql.fetch('one')
if (data == None):
return True
return False
def play():
process_scrapy = CrawlerProcess({'USER_AGENT': settings.USER_AGENT})
sql = 'SELECT * FROM apps_run WHERE status=1'
db_mysql.executeSql(sql)
appsRun = db_mysql.fetch('all')
for app in appsRun:
idApps = app[1]
idSosmed = app[2]
sql = 'SELECT * FROM apps WHERE id=' + str(idApps)
db_mysql.executeSql(sql)
apps = db_mysql.fetch('one')
query = {}
query['idApps'] = apps[0]
query['qTwitter'] = apps[2]
query['since'] = apps[6]
query['until'] = apps[7]
query['tags'] = apps[8].split(', ')
query['q'] = apps[9]
query['tags'].append(query['q'])
print idSosmed
if (idSosmed == 1):
dataTwitter = cr_twitter.play(query['qTwitter'], query['since'],
query['until'])
takeTwitter(idApps, dataTwitter)
elif (idSosmed == settings.online_news['liputan6']):
urls = []
if (query['until'] == None):
query['until'] = datetime.today().strftime('%Y-%m-%d')
for tag in query['tags']:
tag = tag.replace(" ", "-")
urls.append('http://m.liputan6.com/tag/' + tag)
process_scrapy.crawl(Liputan6, urls=urls, query=query)
# Liputan6
elif (idSosmed == settings.online_news['detikcom']):
urls = []
q = query['q'].replace(" ", "+")
if (query['until'] == None):
query['until'] = datetime.today().strftime('%Y-%m-%d')
since = datetime.strptime(query['since'],
"%Y-%m-%d").strftime("%d/%m/%Y")
until = datetime.strptime(query['until'],
"%Y-%m-%d").strftime("%d/%m/%Y")
urls.append('https://www.detik.com/search/searchall?query=' + q +
'&sortby=time&fromdatex=' + since + '&todatex=' +
until)
process_scrapy.crawl(DetikCom, urls=urls, query=query)
# print "=================================================process================================";
process_scrapy.start(
) # the script will block here until the crawling is finished
def probably(word, senti):
global totalNaive
sql = 'SELECT count(*) FROM eval_opinion WHERE training = ' + str(
senti) + ' AND content LIKE "%' + word + '%"'
db_mysql.executeSql(sql)
inWord = db_mysql.fetch('all')[0][0]
if (senti == 1):
return (inWord / totalNaive['positif']) * (totalNaive['positif'] /
totalNaive['data'])
elif (senti == -1):
return (inWord / totalNaive['negatif']) * (totalNaive['negatif'] /
totalNaive['data'])
elif (senti == 0):
return (inWord / totalNaive['netral']) * (totalNaive['netral'] /
totalNaive['data'])
def analyzeSentiment():
sql = '''SELECT *
FROM data_test'''
db_mysql.executeSql(sql)
result = db_mysql.fetch('all')
for data in result:
kalimat = data[2]
keyword = preprocessing.do(kalimat)
sentiment = impress.play(keyword)['sentiment']
print "==========================\n\nID: " + str(
data[0]) + "\n" + kalimat + "\n--Sentiment: " + str(
sentiment) + "\n"
sql = '''UPDATE data_test SET sentiment=%d
WHERE id=%d ''' % (sentiment, data[0])
db_mysql.executeSql(sql)
db_mysql.commit()
def initial():
global totalNaive
sql = '''SELECT count(*)
FROM eval_opinion WHERE training = 1'''
db_mysql.executeSql(sql)
result = db_mysql.fetch('all')
totalNaive['positif'] = result[0][0]
sql = '''SELECT count(*)
FROM eval_opinion WHERE training = -1'''
db_mysql.executeSql(sql)
result = db_mysql.fetch('all')
totalNaive['negatif'] = result[0][0]
sql = '''SELECT count(*)
FROM eval_opinion WHERE training = 0'''
db_mysql.executeSql(sql)
result = db_mysql.fetch('all')
totalNaive['netral'] = result[0][0]
totalNaive['data'] = totalNaive['positif'] + totalNaive[
'negatif'] + totalNaive['netral']
