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POCounting bi-gram frequencies
 

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  1. POCounting bi-gram frequencies
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    <p>I've written a piece of code that essentially counts word frequencies and inserts them into an ARFF file for use with weka. I'd like to alter it so that it can count bi-gram frequencies, i.e. pairs of words instead of single words although my attempts have proved unsuccessful at best.</p> <p>I realise there's alot to look at but any help on this is greatly appreciated. Here's my code:</p> <pre><code> import re import nltk # Quran subset filename = raw_input('Enter name of file to convert to ARFF with extension, eg. name.txt: ') # create list of lower case words word_list = re.split('\s+', file(filename).read().lower()) print 'Words in text:', len(word_list) # punctuation and numbers to be removed punctuation = re.compile(r'[-.?!,":;()|0-9]') word_list = [punctuation.sub("", word) for word in word_list] word_list2 = [w.strip() for w in word_list if w.strip() not in nltk.corpus.stopwords.words('english')] # create dictionary of word:frequency pairs freq_dic = {} for word in word_list2: # form dictionary try: freq_dic[word] += 1 except: freq_dic[word] = 1 print '-'*30 print "sorted by highest frequency first:" # create list of (val, key) tuple pairs freq_list2 = [(val, key) for key, val in freq_dic.items()] # sort by val or frequency freq_list2.sort(reverse=True) freq_list3 = list(freq_list2) # display result as top 10 most frequent words freq_list4 =[] freq_list4=freq_list3[:10] words = [] for item in freq_list4: a = str(item[1]) a = a.lower() words.append(a) f = open(filename) newlist = [] for line in f: line = punctuation.sub("", line) line = line.lower() newlist.append(line) f2 = open('Lines.txt','w') newlist2= [] for line in newlist: line = line.split() newlist2.append(line) f2.write(str(line)) f2.write("\n") print newlist2 # ARFF Creation arff = open('output.arff','w') arff.write('@RELATION wordfrequency\n\n') for word in words: arff.write('@ATTRIBUTE ') arff.write(str(word)) arff.write(' numeric\n') arff.write('@ATTRIBUTE class {endofworld, notendofworld}\n\n') arff.write('@DATA\n') # Counting word frequencies for each verse for line in newlist2: word_occurrences = str("") for word in words: matches = int(0) for item in line: if str(item) == str(word): matches = matches + int(1) else: continue word_occurrences = word_occurrences + str(matches) + "," word_occurrences = word_occurrences + "endofworld" arff.write(word_occurrences) arff.write("\n") print words </code></pre>
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