Damar Zaky damzaky

## simple_sa_part4.py
prediction = classifier.predict(vectorizer.transform([input('enter input: ')]).toarray())
print('positive' if prediction[0] == 1 else 'negative')

## simple_sa_part3.py
classifier = naive_bayes.MultinomialNB()
classifier.fit(X,y)

## simple_sa_part2.py
X = data['text']
y = data['label']

vectorizer = CountVectorizer()
vectorizer.fit(X)

X = vectorizer.transform(X).toarray()

## simple_sa_part1.py
import pandas as pd
from sklearn.feature_extraction.text import CountVectorizer
from sklearn import naive_bayes

data = pd.read_csv("imdb2k.csv")

## downloadImgurGifvAsMp4.js
var q = document.createElement('a');
q.href = document.querySelector('source').src;
q.download = document.title;
q.click();

## Undocumented-api-social-media.md

      
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                damzaky
                / Undocumented-api-social-media.md
            
            
              Last active
              March 10, 2018 01:08
            
              
                Undocumented API of some social media/forum that don't require authentication
              
          
Instagram: https://www.instagram.com/username/?__a=1
Twitter: https://twitter.com/i/profiles/show/username/timeline/tweets
Reddit: https://www.reddit.com/.json or https://www.reddit.com/r/subreddit.json


## Plants.json
[
  	"alder",
	"black alder",
	"common alder",
	"false alder",
	"gray alder",
	"speckled alder",
	"striped alder",
	"white alder",
	"almond",

## animaux.json
[
	"aardvark",
	"aardwolf",
	"african buffalo",
	"african elephant",
	"african leopard",
	"african wild dog",
	"albatross",
	"alligator",
	"alpaca",
	prediction = classifier.predict(vectorizer.transform([input('enter input: ')]).toarray())
	print('positive' if prediction[0] == 1 else 'negative')
	X = data['text']
	y = data['label']

	vectorizer = CountVectorizer()
	vectorizer.fit(X)

	X = vectorizer.transform(X).toarray()
	import pandas as pd
	from sklearn.feature_extraction.text import CountVectorizer
	from sklearn import naive_bayes

	data = pd.read_csv("imdb2k.csv")
	var q = document.createElement('a');
	q.href = document.querySelector('source').src;
	q.download = document.title;
	q.click();
	[
	"alder",
	"black alder",
	"common alder",
	"false alder",
	"gray alder",
	"speckled alder",
	"striped alder",
	"white alder",
	"almond",
	[
	"aardvark",
	"aardwolf",
	"african buffalo",
	"african elephant",
	"african leopard",
	"african wild dog",
	"albatross",
	"alligator",
	"alpaca",