How to get your trainigdata

How to get the trainigdata?

exMedia_Machines/Seminar_Einführung-in-die-Programmierung-KI/04_07-11_maschinelles-lesen/02_load_scrape-data.ipynb

see more...: https://www.nltk.org/book/ch03.html

File aus eigener Datenbank einlesen

filename = 'Dateipfad'
file = open(filename, 'rt')
amw1 = file.read()
file.close()

vorbearbeitete Trainingsdatenbanken

links hierein

Wikipedia

Wiki2Text

Extrahieren eines Plain-Text-Korpus aus MediaWiki-XML-Dumps wie Wikipedia, siehe: https://github.com/rspeer/wiki2text

Wikiextractor

https://github.com/attardi/wikiextractor

WikipediaAPI

https://pypi.org/project/Wikipedia-API/

Tweets scrapen

• https://medium.com/@limavallantin/mining-twitter-for-sentiment-analysis-using-python-a74679b85546
• https://medium.com/better-programming/how-to-build-a-twitter-sentiments-analyzer-in-python-using-textblob-948e1e8aae14
• https://www.researchgate.net/post/How_to_download_the_hashtag_data_set_from_twitter_and_instagram

Beispielcode von https://gist.github.com/sxshateri/540aead254bfa7810ee8bbb2d298363e:

import tweepy
import csv
import pandas as pd
import sys

# API credentials here
consumer_key = 'INSERT CONSUMER KEY HERE'
consumer_secret = 'INSERT CONSUMER SECRET HERE'
access_token = 'INSERT ACCESS TOKEN HERE'
access_token_secret = 'INSERT ACCESS TOKEN SECRET HERE'

auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth,wait_on_rate_limit=True,wait_on_rate_limit_notify=True)

# Search word/hashtag value 
HashValue = ""

# search start date value. the search will start from this date to the current date.
StartDate = ""

# getting the search word/hashtag and date range from user
HashValue = input("Enter the hashtag you want the tweets to be downloaded for: ")
StartDate = input("Enter the start date in this format yyyy-mm-dd: ")

# Open/Create a file to append data
csvFile = open(HashValue+'.csv', 'a')

#Use csv Writer
csvWriter = csv.writer(csvFile) 

for tweet in tweepy.Cursor(api.search,q=HashValue,count=20,lang="en",since=StartDate, tweet_mode='extended').items():
    print (tweet.created_at, tweet.full_text)
    csvWriter.writerow([tweet.created_at, tweet.full_text.encode('utf-8')])

print ("Scraping finished and saved to "+HashValue+".csv")
#sys.exit()

Webseiten downloaden

im Html-Format:

url = "https://theorieblog.attac.de/quo-vadis-homo-spiens/"
html = request.urlopen(url).read().decode('utf8')
print(html[:60])

schon im Textformat (z.B. von Gutenberg):

from urllib import request
url = "http://www.gutenberg.org/files/2554/2554-0.txt"
response = request.urlopen(url)
raw = response.read().decode('utf8')
print(raw[1000:1275])

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