def analyze_text(self, text):
words = get_words(text)
char_count = get_char_count(words)
word_count = len(words)
sentence_count = len(get_sentences(text))
syllable_count = count_syllables(words)
complexwords_count = count_complex_words(text)
avg_words_p_sentence = word_count / sentence_count
self.analyzedVars = {
'words': words,
'char_cnt': float(char_count),
'word_cnt': float(word_count),
'sentence_cnt': float(sentence_count),
'syllable_cnt': float(syllable_count),
'complex_word_cnt': float(complexwords_count),
'avg_words_p_sentence': float(avg_words_p_sentence)
}
outData = {
'char_cnt': float(char_count),
'word_cnt': float(word_count),
'sentence_cnt': float(sentence_count),
'syllable_cnt': float(syllable_count),
'complex_word_cnt': float(complexwords_count),
'avg_words_p_sentence': float(avg_words_p_sentence)
}
return outData
def analyze_text(self, text):
words = get_words(text)
char_count = int(get_char_count(words))
word_count = int(len(words))
sentences = get_sentences(text)
len_sentences = len(sentences)
sentence_count = int(len_sentences)
# sentence_count = int(len(get_sentences(text)))
syllable_count = count_syllables(words)
complexwords_count = count_complex_words(text.decode('utf-8'))
avg_words_p_sentence = word_count / sentence_count
encoding_dict = detect_encoding(self.filename)
self.analyzedVars = {
'filename': self.filename,
# 'text_truncated': text[:200].replace("\n", " "),
'words': words,
'char_cnt': float(char_count),
'word_cnt': float(word_count),
'sentence_cnt': float(sentence_count),
'syllable_cnt': float(syllable_count),
'complex_word_cnt': float(complexwords_count),
'avg_words_p_sentence': float(avg_words_p_sentence),
'encoding': encoding_dict['encoding'],
'encoding_confidence': encoding_dict['confidence']
}
def analyze_text(self, text):
words = get_words(text)
char_count = get_char_count(words)
word_count = len(words)
sentence_count = len(get_sentences(text))
syllable_count = count_syllables(words)
complexwords_count = count_complex_words(text)
avg_words_p_sentence = word_count/sentence_count
self.analyzedVars = {
'words': words,
'char_cnt': float(char_count),
'word_cnt': float(word_count),
'sentence_cnt': float(sentence_count),
'syllable_cnt': float(syllable_count),
'complex_word_cnt': float(complexwords_count),
'avg_words_p_sentence': float(avg_words_p_sentence)
}
def analyze_text(self, text):
words = get_words(text)
char_count = get_char_count(words)
words_count = len(words)
sentence_count = len(get_sentences(text))
syllable_count = count_syllables(words)
print("syllable_count:", syllable_count)
complex_words_count = count_complex_words(text)
avg_words_per_sentence = int(words_count / sentence_count)
print("avg_words_per_sentence", avg_words_per_sentence)
self.ana_vars = {
'words': words,
'char_count': float(char_count),
'words_count': float(words_count),
'sentence_count': float(sentence_count),
'syllable_count': float(syllable_count),
'complex_words_count': float(complex_words_count),
'avg_words_per_sentence': float(avg_words_per_sentence)
}
def analyze_text(self, text):
words = get_words(text)
char_count = int(get_char_count(words))
word_count = int(len(words))
sentence_count = int(len(get_sentences(text)))
syllable_count = count_syllables(words)
complexwords_count = count_complex_words(text)
avg_words_p_sentence = word_count / sentence_count
self.analyzedVars = {
'filename': self.filename,
# 'text_truncated': text[:200].replace("\n", " "),
'words': words,
'char_cnt': float(char_count),
'word_cnt': float(word_count),
'sentence_cnt': float(sentence_count),
'syllable_cnt': float(syllable_count),
'complex_word_cnt': float(complexwords_count),
'avg_words_p_sentence': float(avg_words_p_sentence)
}
