![]() ![]() Other cruft that might be in the texts following conversion.įor finer-grained control, consider filtering sentences prior first, Document: C.readability\sampleblog.docx Flesch Reading Ease: 56.59 (Fairly Difficult) Smog Index: 13.8 Flesch Kincaid Grade: 11.1 Coleman Liau Index: 11.9 Automated Readability Index: 14.1 Dale Chall Readability Score: 7.71 (average 9th or 10th-grade student) Difficult Words: 124 Linsear Write Formula: 10.833333333333334 Gunning Fog: 12.86. May not really be sentences, such as section titles, table elements, and ![]() This makes it easy to exclude "sentences" that Sentence lengths (in tokens, excluding punctuation) to include in theĬomputation of readability. Rather than as a single word of 15 characters "decision-making" as two terms of lengths 8 and 6 characters respectively, Separate terms, for purposes of computing word lengths, e.g. ![]() If TRUE, treat constituent words in hyphenated as Textatistic also contains functions to count the number of sentences, characters, syllables, words, words with three or more syllables and words on an expanded Dale-Chall list of easy words. Calculate the readability of text(s) using one of a variety of computedĪ character or corpus object containing the textsĬharacter vector defining the readability measure to calculate. Textatistic is a Python package to calculate the Flesch Reading Ease, Flesch-Kincaid, Gunning Fog, Simple Measure of Gobbledygook (SMOG) and Dale-Chall readability indices. Python package to calculate the Flesch Reading Ease, Flesch-Kincaid, Gunning Fog, Simple Measure of Gobbledygook (SMOG) and Dale-Chall readability indices. ![]()
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