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htmlTree

구문 분석된 HTML 트리

페이지 내 모두 확장

설명

htmlTree 객체는 구문 분석된 HTML 요소 또는 노드를 나타냅니다. findElement 함수 또는 Children 속성을 사용하여 관심 부분을 추출하고 extractHTMLText 함수를 사용하여 텍스트를 추출합니다.

생성

구문

tree = htmlTree(code)

설명

예제

tree = htmlTree(code)는 문자열 code에서 HTML 코드를 구문 분석하고 결과로 생성된 트리 구조체를 반환합니다.

팁

XML 코드를 구문 분석하려면 readstruct 함수를 사용하십시오.

입력 인수

모두 확장

HTML 코드로, string형 배열, 문자형 벡터 또는 문자형 벡터로 구성된 셀형 배열로 지정됩니다.

팁

  • 웹 페이지에서 HTML 코드를 읽어오려면 webread를 사용하십시오.

  • HTML 파일에서 텍스트를 추출하려면 extractFileText를 사용하십시오.

예: "<a href='https://www.mathworks.com'>MathWorks</a>"

데이터형: char | string | cell

속성

모두 확장

요소의 직계 후손으로, htmlTree 배열로 지정됩니다.

트리의 부모 노드로, htmlTree 객체로 지정됩니다.

HTML 트리가 루트 노드인 경우 Parent 값은 missing입니다.

HTML 요소 이름으로, string형 스칼라로 지정됩니다.

자세한 내용은 HTML 요소 항목을 참조하십시오.

객체 함수

findElementHTML 트리에서 요소 찾기
getAttributeHTML 트리의 루트 노드의 HTML 특성 읽어오기
extractHTMLTextHTML에서 텍스트 추출
ismissing값이 없는 HTML 트리 찾기

예제

모두 축소

라이브 스크립트 열기

webread를 사용하여 URL https://www.mathworks.com/help/textanalytics에서 HTML 코드를 읽어옵니다.

url = "https://www.mathworks.com/help/textanalytics";
code = webread(url);

htmlTree를 사용하여 HTML 코드를 구문 분석합니다.

tree = htmlTree(code);

트리에 있는 루트 노드의 요소 이름을 표시합니다.

tree.Name
ans = 
"HTML"

루트 노드의 자식을 표시합니다.

tree.Children
ans = 
  4×1 htmlTree:

    " "
    <HEAD><TITLE>Text Analytics Toolbox Documentation</TITLE><META charset="utf-8"/><META content="width=device-width, initial-scale=1.0" name="viewport"/><META content="IE=edge" http-equiv="X-UA-Compatible"/><LINK href="/includes_content/responsive/css/bootstrap/bootstrap.min.css" rel="stylesheet" type="text/css"/><LINK href="/includes_content/responsive/css/site6.css?201903" rel="stylesheet" type="text/css"/><LINK href="/includes_content/responsive/css/site6_lg.css?201903" media="screen and (min-width: 1200px)" rel="stylesheet"/><LINK href="/includes_content/responsive/css/site6_md.css?201903" media="screen and (min-width: 992px) and (max-width: 1199px)" rel="stylesheet"/><LINK href="/includes_content/responsive/css/site6_sm+xs.css?201903" media="screen and (max-width: 991px)" rel="stylesheet"/><LINK href="/includes_content/responsive/css/site6_sm.css?201903" media="screen and (min-width: 768px) and (max-width: 991px)" rel="stylesheet"/><LINK href="/includes_content/responsive/css/site6_…
    " "
    <BODY id="responsive_offcanvas"><!-- Mobile TopNav: Start --><DIV class="header visible-xs visible-sm" id="header_mobile" translate="no"><NAV class="navbar navbar-default" role="navigation"><DIV class="container-fluid"><DIV class="row"><DIV class="col-xs-12"><DIV class="navbar-header"><BUTTON class="navbar-toggle topnav_toggle" data-target="#topnav_collapse" data-toggle="collapse" type="button"><SPAN class="sr-only">Toggle Main Navigation</SPAN><SPAN class="icon-menu"/></BUTTON><A class="svg_link navbar-brand" href="https://www.mathworks.com?s_tid=gn_logo"><IMG alt="MathWorks" class="mw_logo" src="/images/responsive/global/pic-header-mathworks-logo.svg"/></A></DIV></DIV></DIV><DIV class="row visible-xs visible-sm"><DIV class="col-xs-12"><DIV class="navbar-collapse collapse" id="topnav_collapse"><UL class="nav navbar-nav" id="topnav"><LI class="headernav_login"><A class="mwa-nav_login" href="https://www.mathworks.com/login?uri=http://www.mathworks.com/help/textanalytics/index.html">Sign…

extractHTMLText를 사용하여 HTML 트리에서 텍스트를 추출합니다.

str = extractHTMLText(tree)
str = 
    "Text Analytics Toolbox™ provides algorithms and visualizations for preprocessing, analyzing, and modeling text data. Models created with the toolbox can be used in applications such as sentiment analysis, predictive maintenance, and topic modeling.
     
     Text Analytics Toolbox includes tools for processing raw text from sources such as equipment logs, news feeds, surveys, operator reports, and social media. You can extract text from popular file formats, preprocess raw text, extract individual words, convert text into numerical representations, and build statistical models.
     
     Using machine learning techniques such as LSA, LDA, and word embeddings, you can find clusters and create features from high-dimensional text datasets. Features created with Text Analytics Toolbox can be combined with features from other data sources to build machine learning models that take advantage of textual, numeric, and other types of data."
라이브 스크립트 열기

webread 함수를 사용하여 URL https://www.mathworks.com/help/textanalytics에서 HTML 코드를 읽어옵니다.

url = "https://www.mathworks.com/help/textanalytics";
code = webread(url);

htmlTree를 사용하여 HTML 코드를 구문 분석합니다.

tree = htmlTree(code);

findElement를 사용하여 HTML 트리에서 하이퍼링크를 모두 찾습니다. 하이퍼링크는 요소 이름이 "A"인 노드입니다.

selector = "A";
subtrees = findElement(tree,selector);

처음 몇 개의 하위 트리를 표시합니다.

subtrees(1:10)
ans = 
  10×1 htmlTree:

    <A class="skip_link sr-only" href="#content_container">Skip to content</A>
    <A href="https://www.mathworks.com?s_tid=gn_logo" class="svg_link navbar-brand"><IMG src="/images/responsive/global/pic-header-mathworks-logo.svg" class="mw_logo" alt="MathWorks"/></A>
    <A href="https://www.mathworks.com/products.html?s_tid=gn_ps">Products</A>
    <A href="https://www.mathworks.com/solutions.html?s_tid=gn_sol">Solutions</A>
    <A href="https://www.mathworks.com/academia.html?s_tid=gn_acad">Academia</A>
    <A href="https://www.mathworks.com/support.html?s_tid=gn_supp">Support</A>
    <A href="https://www.mathworks.com/matlabcentral/?s_tid=gn_mlc">Community</A>
    <A href="https://www.mathworks.com/company/events.html?s_tid=gn_ev">Events</A>
    <A href="https://www.mathworks.com/products/get-matlab.html?s_tid=gn_getml">Get MATLAB</A>
    <A href="https://www.mathworks.com?s_tid=gn_logo" class="svg_link pull-left"><IMG src="/images/responsive/global/pic-header-mathworks-logo.svg" class="mw_logo" alt="MathWorks"/></A>

extractHTMLText를 사용하여 하위 트리에서 텍스트를 추출합니다. 추출한 결과에 해당 페이지에 있는 각 링크의 링크 텍스트가 들어 있습니다.

str = extractHTMLText(subtrees);
str(1:10)
ans = 10×1 string
    "Skip to content"
    ""
    "Products"
    "Solutions"
    "Academia"
    "Support"
    "Community"
    "Events"
    "Get MATLAB"
    ""
라이브 스크립트 열기

webread를 사용하여 URL https://www.mathworks.com/help/textanalytics에서 HTML 코드를 읽어옵니다.

url = "https://www.mathworks.com/help/textanalytics";
code = webread(url);

htmlTree를 사용하여 HTML 코드를 구문 분석합니다.

tree = htmlTree(code);

findElement를 사용하여 HTML 트리에서 하이퍼링크를 모두 찾습니다. 하이퍼링크는 요소 이름이 "A"인 노드입니다.

selector = "A";
subtrees = findElement(tree,selector);
subtrees(1:10)
ans = 
  10×1 htmlTree:

    <A class="svg_link navbar-brand" href="https://www.mathworks.com?s_tid=gn_logo"><IMG alt="MathWorks" class="mw_logo" src="/images/responsive/global/pic-header-mathworks-logo.svg"/></A>
    <A class="mwa-nav_login" href="https://www.mathworks.com/login?uri=http://www.mathworks.com/help/textanalytics/index.html">Sign In</A>
    <A href="https://www.mathworks.com/products.html?s_tid=gn_ps">Products</A>
    <A href="https://www.mathworks.com/solutions.html?s_tid=gn_sol">Solutions</A>
    <A href="https://www.mathworks.com/academia.html?s_tid=gn_acad">Academia</A>
    <A href="https://www.mathworks.com/support.html?s_tid=gn_supp">Support</A>
    <A href="https://www.mathworks.com/matlabcentral/?s_tid=gn_mlc">Community</A>
    <A href="https://www.mathworks.com/company/events.html?s_tid=gn_ev">Events</A>
    <A href="https://www.mathworks.com/company/aboutus/contact_us.html?s_tid=gn_cntus">Contact Us</A>
    <A href="https://www.mathworks.com/store?s_cid=store_top_nav&amp;s_tid=gn_store">How to Buy</A>

getAttribute를 사용하여 하이퍼링크 참조를 가져옵니다. 특성 이름 "href"를 지정합니다.

attr = "href";
str = getAttribute(subtrees,attr);
str(1:10)
ans = 10×1 string array
    "https://www.mathworks.com?s_tid=gn_logo"
    "https://www.mathworks.com/login?uri=http://www.mathworks.com/help/textanalytics/index.html"
    "https://www.mathworks.com/products.html?s_tid=gn_ps"
    "https://www.mathworks.com/solutions.html?s_tid=gn_sol"
    "https://www.mathworks.com/academia.html?s_tid=gn_acad"
    "https://www.mathworks.com/support.html?s_tid=gn_supp"
    "https://www.mathworks.com/matlabcentral/?s_tid=gn_mlc"
    "https://www.mathworks.com/company/events.html?s_tid=gn_ev"
    "https://www.mathworks.com/company/aboutus/contact_us.html?s_tid=gn_cntus"
    "https://www.mathworks.com/store?s_cid=store_top_nav&s_tid=gn_store"
라이브 스크립트 열기

webread 함수를 사용하여 URL https://www.mathworks.com/help/textanalytics에서 HTML 코드를 읽어옵니다.

url = "https://www.mathworks.com/help/textanalytics";
code = webread(url);

htmlTree 함수를 사용하여 HTML 코드를 구문 분석합니다.

tree = htmlTree(code);

findElement 함수를 사용하여 HTML 트리에서 단락을 모두 찾습니다. 단락은 요소 이름이 "P"인 노드입니다.

subtrees = findElement(tree,"P");

string 함수를 사용하여 하위 트리를 string형으로 변환합니다.

str = string(subtrees)
str = 26×1 string
    "<P class="h1">↵  <A href="../index.html" class="coming_from_product">Documentation</A>↵  <A href="../index.html" class="not_coming_from_product">Help Center</A>↵</P>"
    "<P>Text Analytics Toolbox™ provides algorithms and visualizations for preprocessing, analyzing, and modeling text data. Models created with the toolbox can be used in applications such as sentiment analysis, predictive maintenance, and topic modeling.</P>"
    "<P>Text Analytics Toolbox includes tools for processing raw text from sources such as equipment logs, news feeds, surveys, operator reports, and social media. You can extract text from popular file formats, preprocess raw text, extract individual words, convert text into numerical representations, and build statistical models.</P>"
    "<P>Using machine learning techniques such as LSA, LDA, and word embeddings, you can find clusters and create features from high-dimensional text datasets. Features created with Text Analytics Toolbox can be combined with features from other data sources to build machine learning models that take advantage of textual, numeric, and other types of data.</P>"
    "<P class="category_desc">Learn the basics of Text Analytics Toolbox</P>"
    "<P class="category_desc">Import text data into MATLAB<SUP>®</SUP> and preprocess it for analysis</P>"
    "<P class="category_desc">Develop predictive models using topic models and word embeddings</P>"
    "<P class="category_desc">Visualize text data and models using word clouds and text scatter plots</P>"
    "<P class="category_desc">Information on language support in Text Analytics Toolbox</P>"
    "<P>You clicked a link that corresponds to this MATLAB command:</P>"
    "<P>Run the command by entering it in the MATLAB Command Window. Web browsers do not support MATLAB commands.</P>"
    "<P>Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: <STRONG class="recommended-country"/>.</P>"
    "<P>You can also select a web site from the following list:</P>"
    "<P>Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.</P>"
    "<P class="text-center">↵  <A href="#" class="worldwide_link">Contact your local office</A>↵</P>"
    "<P class="ff_section_title">Explore Products</P>"
    "<P class="ff_section_title">Try or Buy</P>"
    "<P class="ff_section_title">Learn to Use</P>"
    "<P class="ff_section_title">Get Support</P>"
    "<P class="ff_section_title">About <SPAN translate="no">MathWorks</SPAN></P>"
    "<P class="h4 add_font_futura_medium add_margin_0">↵  <SPAN translate="no">MathWorks</SPAN>↵</P>"
    "<P>↵  <EM>Accelerating the pace of engineering and science</EM>↵</P>"
    "<P><SPAN translate="no">MathWorks</SPAN> is the leading developer of mathematical computing software for engineers and scientists.</P>"
    "<P>↵  <A href="/discovery.html?s_tid=all_disc_mw_ff">Discover...</A>↵</P>"
    "<P class="copyright" translate="no">© 1994-2021 The MathWorks, Inc.</P>"
    "<P>↵  <EM>Join the conversation</EM>↵</P>"

세부 정보

모두 확장

버전 내역

R2018b에 개발됨

모두 확장

참고 항목

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