extract_text函数按页打印出文本。此处我们可以加入一些分析逻辑来得到我们想要的分析结果。或者我们可以仅是将文本(或HTML或XML)存入不同的文件中以便分析。 你可能注意到这些文本没有按你期望的顺序排列。因此你需要思考一些方法来分析出你感兴趣的文本。 PDFMiner的好处就是你可以很方便地按文本、HTML或XML格式来“...
def extract_age(filepath): text = docx2txt.process(filepath) #提取txt格式的内容 findword = u"(\d\d+岁)"#定位查询的内容、格式 pattern = re.compile(findword) results = pattern.findall(text) return results #提取所有年龄内容 age=[] for i in cv_list: a=extract_age(i) age.append(a...
pdfFile=open('./input/Political Uncertainty and Corporate Investment Cycles.pdf','rb')pdfObj=PyPDF2.PdfFileReader(pdfFile)page_count=pdfObj.getNumPages()print(page_count)#提取文本forpinrange(0,page_count):text=pdfObj.getPage(p)print(text.extractText())''' # 部分输出:39THEJOURNALOFFINANCE...
import jieba from jieba.analyse import extract_tags chinese_text = "自然语言处理在中文信息处理中具有重要作用。" # 中文分词 seg_list = jieba.cut(chinese_text) print("Chinese Segmentation:", "/".join(seg_list)) # 提取关键词 keywords = extract_tags(chinese_text) print("Chinese Keywords:", ...
然后将文本传递给 extract_keywords 函数,该函数将返回一个元组列表 (keyword: score)。关键字的长度范围为 1 到 3。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 kw_extractor = yake.KeywordExtractor(top=10, stopwords=None) keywords = kw_extractor.extract_keywords(full_text) for kw, v in ...
importhtmlimportreimportosdefparse_timecodes(timecode_range):"""Extract start and end timecodes from a timecode range and convert to SMIL time format."""match=re.match(r"(\d{2}):(\d{2}):(\d{2}),(\d{3}) --> (\d{2}):(\d{2}):(\d{2}),(\d{3})",timecode_range)if...
# extract description from the name companyname = data[1].find('span', attrs={'class':'company-name'}).getText() description = company.replace(companyname, '') # remove unwanted characters sales = sales.strip('*').strip('†').replace(',','') 我们要保存的最后一个变量是公司网站。
content = page.extract_text() contents_list.append(content) return'\n'.join(contents_list) read_pdf_to_text('xxx.pdf') 读取Word文本:docx2txt 需执行 pip install python-docx importdocx2txt fromdocximportDocument defconvert_doc_to_docx(doc_file, docx_file):# 将doc文档转为docx文档 ...
extract text from pdf with python PDF, or Portable Document Format, is one of the most widely used formats for electronic documents. It has become the standard for document exchange and archiving. Despite its convenience, it is sometimes necessary to extract text from a PDF document. Fortunately...
text += page_obj.extractText() ``` 7.关闭PDF文件: ```python pdf_file.close() ``` 至此,你已经成功提取了PDF文本内容。 方法二:使用pdfplumber库 pdfplumber是一个高级的Python库,用于提取PDF文本内容。下面是使用pdfplumber库的步骤: 1.安装pdfplumber库: 使用以下命令在终端或命令提示符中安装pdfplumber库...