I could not think of a good way to work on a PR, so creating an issue instead.

This is what REAME says regarding delight and projectile:

;; Remove the mode name for projectile-mode, but show the project name.
(use-package projectile
  :delight '(:eval (concat " " (projectile-project-name))))

However this under certain circumstances would have serious performance issue, an

I would like to process corpus of documents by TFIDF model. My corpus is one txt file where each line is document. It is fine as input for any models from pke, but for TFIDF I need a document frequency matrix which can be generated in pke utilities but it accept only input_dir where files are documents. It would convenient to have option to inject a documents as one file as for all models.
Th

Traceback (most recent call last):
File "", line 1, in
File "/data1/kt/work/KR-WordRank/krwordrank/word/_word.py", line 211, in extract
rank, graph = self.train(docs, beta, max_iter, vocabulary, bias)
File "/data1/kt/work/KR-WordRank/krwordrank/word/_word.py", line 319, in train
self.scan_vocabs(docs)
File "/data1/kt/work/KR-WordRank/krwordrank/word/_word.py",

The current solution opens the a panel and puts documentation there. Sublime Text 3 offers better ways to display documentation to the users. Consider could those features be used.

def segment(sentence, cut_all=False):
    sentence = sentence.replace('\n', '').replace('\u3000', '').replace('\u00A0', '')
    sentence = ' '.join(jieba.cut(sentence, cut_all=cut_all))
    return re.sub('[a-zA-Z0-9.。:：,，)）(（！!??”“\"]', '', sentence).split()  # 可以先替换，然后分词

https://developer.ebay.com/api-docs/buy/marketing/resources/merchandised_product/methods/getAlsoViewedByProduct

Verify the page and line numbers are correct when splitting document into sentences.

pdf_url <- "https://arxiv.org/pdf/1610.00147.pdf"

search_result_sent <- keyword_search(pdf_url, keyword = c('measurement error'),
  path = TRUE, remove_hyphen = TRUE, convert_sentence = TRUE)