February 2018
Beginner to intermediate
364 pages
10h 32m
English
Content preview from Python Web Scraping Cookbook
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How to do it
Rare words can be removed by building a list of those rare words and then removing them from the set of tokens being processed. The list of rare words can be determined by using the frequency distribution provided by NTLK. Then you decide what threshold should be used as a rare word threshold:
- The script in the 07/07_rare_words.py file extends that of the frequency distribution recipe to identify words with two or fewer occurrences and then removes those words from the tokens:
with open('wotw.txt', 'r') as file: data = file.read()tokens = [word.lower() for word in regexp_tokenize(data, '\w+')]stoplist = stopwords.words('english')without_stops = [word for word in tokens if word not in stoplist]freq_dist = FreqDist(without_stops ...
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