Want to go further than word clouds? Try out this sentiment analyzer, also created by MonkeyLearn. You’ll find plenty of customization options, too.Ĭhange fonts, color schemes, word quantity, and theme, then download your high-definition word art in PNG and SVG formats, and download your raw data (frequency and relevance scores) in a CSV file. MonkeyLearn’s word cloud generator also reduces words to their root form, a process known as stemming, and determines which words are most relevant by measuring how rare, descriptive, and how long a word is – instead of just measuring word frequency. Take a look at this tag cloud, above, and notice phrases like “nice staff”, “friendly staff”, providing you with deeper insights about the hotel staff. It automatically detects collocations (words that often go together) in sentences, paragraphs, and documents, offering more context than word clouds with just single words. There is a way you could put a lazily evaluated caching wrapper around an infinite generator to make it look like an infinitely long list you could index into at will, but that deserves its own question and answer, and would have major performance implications.MonkeyLearn's WordCloud Generator is completely free, and equipped with artificial intelligence (AI) to deliver more accurate and unique results than other word cloud tools. The expression list(gen) will never finish. MonkeyLearn's WordCloud Generator is completely free, and equipped with artificial intelligence (AI) to deliver more accurate and unique results than other word cloud. gen = (i for i in range(10))īut type this into the repl and you get: > gen = (i for i in range(10))Īs pointed out, if the generator is infinitely long, you can't even convert it to a list. It was one of the earliest word cloud generators on the scene and a favorite among word cloud users, so it definitely deserves a mention here. One would initially expect the following to print 4 twice. Let's take a look at another example, based on the code from the question. Once you start going through a generator to get the nth value in the sequence, the generator is now in a different state, and attempting to get the nth value again will return you a different result, which is likely to result in a bug in your code. I'll demonstrate the problem with a simple example in the python repl: > gen = (i for i in range(10)) They don't store their intermediate results anywhere, so you can't go backwards. The simple but naive approach is the simple one-liner: gen = (i for i in range(10))īut remember, generators aren't like lists. PDF Index Generator parses your PDF, collects the index words and their location in the PDF, then writes the generated index to a PDF or a text file you specify. I'd argue against the temptation to treat generators like lists. PDF Index Generator is a powerful utility for generating an index and writing it to your book in 4 easy steps.
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