Added files via upload

AnalysisofCloningonWikipedia.py

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+
+
+import pickle 
+
+#Step 1: Get text file (done in code before.) 
+#Step 2: Search for words (searchable_words)
+#Step 3: Count the words (return the number of each word within a file.)
+#Step 4: Save these words. 
+#Step 5: Move on to the next file (repeat)
+
+search_terms = ['cloning', 'genetic engineering', 'gene therapy', 'CRISPR', 'genetically modified organisms', 'genetics', 'conservation genetics']
+negative_searchable_words = ['not', 'no', 'lack', 'questionable', 'cannot', 'controversial', 'controversy', 'painful', 'bad', 'beneath', "can't", 'confused', 'contradictory', 'contrary', 'corrupt', 'cruel', 'dead', 'decaying', 'damaging', 'deplorable', 'deformed', 'deny', 'detrimental', 'dirty', 'cold', 'dishonest', 'disheveled', 'dismal', 'distress', "don't", 'enraged', 'eroding', 'fail', 'faulty', 'fear', 'feeble', 'filthy', 'frighten', 'gruesome', 'grim', 'grotesque', 'guilty', 'hard', 'harmful', 'hate', 'horrible', 'hostile', 'hurt', 'hurtful', 'ignore', 'ignorant', 'ill', 'immature', 'imperfect', 'impossible', 'inane', 'inelegant', 'infernal', 'injure', 'injurious', 'insane', 'insidious', 'insipid', 'jealous', 'junky', 'lose', 'lousy', 'lumpy', 'malicious', 'mean', 'menacing', 'messy', 'misshapen', 'missing', 'misunderstood', 'moan', 'moldy', 'monstrous', 'naive', 'nasty', 'naughty', 'negate', 'negative', 'never', 'no', 'nobody', 'nondescript', 'nonsense', 'noxious', 'objectionable', 'odious', 'offensive', 'old', 'oppressive', 'pain', 'perturb', 'pessimistic', 'petty', 'plain', 'poisonous', 'poor', 'prejudice', 'questionable', 'quirky', 'quit', 'reject', 'renege', 'repellant', 'reptilian', 'repulsive', 'repugnant', 'revenge', 'revolting', 'rocky', 'rotten', 'rude', 'ruthless', 'sad', 'savage', 'scare', 'scary', 'scream', 'severe', 'shoddy', 'shocking', 'sick', 'sickening', 'sinister', 'slimy', 'smelly', 'sobbing', 'sorry', 'spiteful', 'sticky', 'stinky', 'stormy', 'stressful', 'stuck', 'stupid', 'substandard', 'suspect', 'suspicious', 'tense', 'terrible', 'terrifying', 'threatening', 'ugly', 'undermine', 'unfair', 'unfavorable', 'unhappy', 'unhealthy', 'unjust', 'unlucky', 'unpleasant', 'upset', 'unsatisfactory', 'unsightly', 'untoward', 'unwanted', 'unwelcome', 'unwholesome', 'unwieldy', 'unwise', 'vice', 'vicious', 'vile', 'villainous', 'vindictive', 'wary', 'weary', 'wicked', 'woeful', 'worthless', 'wound', 'yell', 'yucky', 'zero']
+positive_searchable_words = ['trusted', 'reliable', 'safe', 'effective', 'helpful', 'can', 'capable', 'absolutely', 'adorable', 'accepted', 'acclaimed', 'accomplish', 'accomplishment', 'achievement', 'action', 'active', 'admire', 'adventure', 'affirmative', 'affluent', 'agree', 'agreeable', 'amazing', 'angelic', 'appealing', 'approve', 'aptitude', 'attractive', 'awesome', 'beaming', 'beautiful', 'believe', 'beneficial', 'bliss', 'bountiful', 'bounty', 'brave', 'bravo', 'brilliant', 'bubbly', 'calm', 'celebrated', 'certain', 'champ', 'champion', 'charming', 'cheery', 'choice', 'classic', 'classical', 'clean', 'commend', 'composed', 'congratulation', 'constant', 'cool', 'courageous', 'creative', 'cute', 'dazzling', 'delight', 'delightful', 'distinguished', 'divine', 'earnest', 'easy', 'ecstatic', 'effective', 'effervescent', 'efficient', 'effortless', 'electrifying', 'elegant', 'enchanting', 'encouraging', 'endorsed', 'energetic', 'energized', 'engaging', 'enthusiastic', 'essential', 'esteemed', 'ethical', 'excellent', 'exciting', 'exquisite', 'fabulous', 'fair', 'familiar', 'famous', 'fantastic', 'favorable', 'fetching', 'fine', 'fitting', 'flourishing', 'fortunate', 'free', 'fresh', 'friendly', 'fun', 'funny', 'generous', 'genius', 'genuine', 'giving', 'glamorous', 'glowing', 'good', 'gorgeous', 'graceful', 'great', 'green', 'grin', 'growing', 'handsome', 'happy', 'harmonious', 'healing', 'healthy', 'hearty', 'heavenly', 'honest', 'honorable', 'honored', 'hug', 'idea', 'ideal', 'imaginative', 'imagine', 'impressive', 'independent', 'innovate', 'innovative', 'instant', 'instantaneous', 'instinctive', 'intuitive', 'intellectual', 'intelligent', 'inventive', 'jovial', 'joy', 'jubilant', 'keen', 'kind', 'knowing', 'knowledgeable', 'laugh', 'legendary', 'light', 'learned', 'lively', 'lovely', 'lucid', 'lucky', 'luminous', 'marvelous', 'masterful', 'meaningful', 'merit', 'meritorious', 'miraculous', 'motivating', 'moving', 'natural', 'nice', 'novel', 'now', 'nurturing', 'nutritious', 'okay', 'one', 'one-hundred percent', 'open', 'optimistic', 'paradise', 'perfect', 'phenomenal', 'pleasurable', 'plentiful', 'pleasant', 'poised', 'polished', 'popular', 'positive', 'powerful', 'prepared', 'pretty', 'principled', 'productive', 'progress', 'prominent', 'protected', 'proud', 'quality', 'quick', 'quiet', 'ready', 'reassuring', 'refined', 'refreshing', 'rejoice', 'reliable', 'remarkable', 'resounding', 'respected', 'restored', 'reward', 'rewarding', 'right', 'robust', 'safe', 'satisfactory', 'secure', 'seemly', 'simple', 'skilled', 'skillful', 'smile', 'soulful', 'sparkling', 'special', 'spirited', 'spiritual', 'stirring', 'stupendous', 'stunning', 'success', 'successful', 'sunny', 'super', 'superb', 'supporting', 'surprising', 'terrific', 'thorough', 'thrilling', 'thriving', 'tops', 'tranquil', 'transforming', 'transformative', 'trusting', 'truthful', 'unreal', 'unwavering', 'up', 'upbeat', 'upright', 'upstanding', 'valued', 'vibrant', 'victorious', 'victory', 'vigorous', 'virtuous', 'vital', 'vivacious', 'wealthy', 'welcome', 'well', 'whole', 'wholesome', 'willing', 'wonderful', 'wondrous', 'worthy', 'wow', 'yes', 'yummy', 'zeal', 'zealous']
+s = ('cloning', 'genetic engineering')
+neg = 'no'
+pos = 'yes'
+z = 0 , ''
+
+
+
+def search_neg_pos (article_names, negative_search_words, positive_search_words): 
+	''' This runs some examples 
+	>>> s = ('cloning', 'genetic engineering')
+	>>> neg = 'no'
+	>>> pos = 'yes'
+	>>> search_neg_pos(s, neg , pos)
+	cloning : negative = 0
+           positive = 2
+
+
+	genetic engineering : negative = 0
+	           positive = 1
+
+
+	>>> search_neg_pos('', '', '')
+
+	'''
+	for element in article_names: 
+		file = open(element +'.txt', 'r')
+		n = dict()
+		p = dict() 
+		for line in file: 
+			# Save data to a file (will be part of your data fetching script)
+			b = line.split()
+			for word in b: 
+				for myword in negative_search_words: 
+					if myword == word:
+						n[myword] = n.get(myword, 0) + 1
+				negative = sum(n.values())
+		print element, ':', 'negative', '=', negative  
+		file.seek(0)
+		for line in file: 
+			# Save data to a file (will be part of your data fetching script)
+			b = line.split() 
+			for word1 in b: 
+				for myword1 in positive_search_words: 
+					if myword1 == word1:
+						p[myword1] = p.get(myword1, 0) + 1
+					positive = sum(p.values()) 
+		print ' ' * 10, 'positive', '=', positive
+		print '\n'
+
+search_neg_pos(search_terms, negative_searchable_words, positive_searchable_words)
+
+doctest.testmod()

DownloadWikiArticlesGenetics.py

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+import pickle 
+
+from pattern.web import *
+w = Wikipedia()
+
+
+search_terms = ['cloning', 'genetic engineering', 'gene therapy', 'CRISPR', 'genetically modified organisms', 'genetics', 'conservation genetics']
+
+for element in search_terms: 
+	article = w.search(element)
+	print article.sections
+
+	with open(element +'.txt', 'w') as f:
+		f.write(article.plaintext().encode('UTF-8'))