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| <blockquote> |
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| <div class="section" id="google-cloud-natural-language-operators"> |
| <h1>Google Cloud Natural Language Operators<a class="headerlink" href="#google-cloud-natural-language-operators" title="Permalink to this headline">¶</a></h1> |
| <p>The <a class="reference external" href="https://cloud.google.com/natural-language/">Google Cloud Natural Language</a> |
| can be used to reveal the structure and meaning of text via powerful machine |
| learning models. You can use it to extract information about people, places, |
| events and much more, mentioned in text documents, news articles or blog posts. |
| You can use it to understand sentiment about your product on social media or |
| parse intent from customer conversations happening in a call center or a |
| messaging app.</p> |
| <div class="contents local topic" id="contents"> |
| <ul class="simple"> |
| <li><p><a class="reference internal" href="#prerequisite-tasks" id="id1">Prerequisite Tasks</a></p></li> |
| <li><p><a class="reference internal" href="#documents" id="id2">Documents</a></p></li> |
| <li><p><a class="reference internal" href="#analyzing-entities" id="id3">Analyzing Entities</a></p></li> |
| <li><p><a class="reference internal" href="#analyzing-entity-sentiment" id="id4">Analyzing Entity Sentiment</a></p></li> |
| <li><p><a class="reference internal" href="#analyzing-sentiment" id="id5">Analyzing Sentiment</a></p></li> |
| <li><p><a class="reference internal" href="#classifying-content" id="id6">Classifying Content</a></p></li> |
| <li><p><a class="reference internal" href="#reference" id="id7">Reference</a></p></li> |
| </ul> |
| </div> |
| <div class="section" id="prerequisite-tasks"> |
| <h2><a class="toc-backref" href="#id1">Prerequisite Tasks</a><a class="headerlink" href="#prerequisite-tasks" title="Permalink to this headline">¶</a></h2> |
| <blockquote> |
| <div></div></blockquote> |
| <p>To use these operators, you must do a few things:</p> |
| <blockquote> |
| <div><ul> |
| <li><p>Select or create a Cloud Platform project using <a class="reference external" href="https://console.cloud.google.com/project">Cloud Console</a>.</p></li> |
| <li><p>Enable billing for your project, as described in <a class="reference external" href="https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project">Google Cloud documentation</a>.</p></li> |
| <li><p>Enable API, as described in <a class="reference external" href="https://cloud.google.com/apis/docs/enable-disable-apis">Cloud Console documentation</a>.</p></li> |
| <li><p>Install API libraries via <strong>pip</strong>.</p> |
| <div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>pip install <span class="s1">'apache-airflow[gcp]'</span> |
| </pre></div> |
| </div> |
| <p>Detailed information is available <a class="reference internal" href="../../../installation.html"><span class="doc">Installation</span></a></p> |
| </li> |
| <li><p><a class="reference internal" href="../../connection/gcp.html"><span class="doc">Setup Connection</span></a>.</p></li> |
| </ul> |
| </div></blockquote> |
| </div> |
| <div class="section" id="documents"> |
| <span id="howto-operator-cloudnaturallanguagedocuments"></span><h2><a class="toc-backref" href="#id2">Documents</a><a class="headerlink" href="#documents" title="Permalink to this headline">¶</a></h2> |
| <p>Each operator uses a <a class="reference external" href="https://googleapis.github.io/google-cloud-python/latest/language/gapic/v1/types.html#google.cloud.language_v1.types.Document" title="(in google-cloud)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Document</span></code></a> for |
| representing text.</p> |
| <p>Here is an example of document with text provided as a string:</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/contrib/example_dags/example_gcp_natural_language.py</span><a class="example-header-button viewcode-button reference internal" href="../../../_modules/airflow/contrib/example_dags/example_gcp_natural_language.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">TEXT</span> <span class="o">=</span> <span class="s2">"""</span> |
| <span class="s2">Airflow is a platform to programmatically author, schedule and monitor workflows.</span> |
| |
| <span class="s2">Use Airflow to author workflows as Directed Acyclic Graphs (DAGs) of tasks. The Airflow scheduler executes</span> |
| <span class="s2"> your tasks on an array of workers while following the specified dependencies. Rich command line utilities</span> |
| <span class="s2"> make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize</span> |
| <span class="s2"> pipelines running in production, monitor progress, and troubleshoot issues when needed.</span> |
| <span class="s2">"""</span> |
| <span class="n">document</span> <span class="o">=</span> <span class="n">Document</span><span class="p">(</span><span class="n">content</span><span class="o">=</span><span class="n">TEXT</span><span class="p">,</span> <span class="nb">type</span><span class="o">=</span><span class="s2">"PLAIN_TEXT"</span><span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| <p>In addition to supplying string, a document can refer to content stored in Google Cloud Storage.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/contrib/example_dags/example_gcp_natural_language.py</span><a class="example-header-button viewcode-button reference internal" href="../../../_modules/airflow/contrib/example_dags/example_gcp_natural_language.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">GCS_CONTENT_URI</span> <span class="o">=</span> <span class="s2">"gs://my-text-bucket/sentiment-me.txt"</span> |
| <span class="n">document_gcs</span> <span class="o">=</span> <span class="n">Document</span><span class="p">(</span><span class="n">gcs_content_uri</span><span class="o">=</span><span class="n">GCS_CONTENT_URI</span><span class="p">,</span> <span class="nb">type</span><span class="o">=</span><span class="s2">"PLAIN_TEXT"</span><span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="analyzing-entities"> |
| <span id="howto-operator-cloudlanguageanalyzeentitiesoperator"></span><h2><a class="toc-backref" href="#id3">Analyzing Entities</a><a class="headerlink" href="#analyzing-entities" title="Permalink to this headline">¶</a></h2> |
| <p>Entity Analysis inspects the given text for known entities (proper nouns such as |
| public figures, landmarks, etc.), and returns information about those entities. |
| Entity analysis is performed with the |
| <a class="reference internal" href="../../../_api/airflow/contrib/operators/gcp_natural_language_operator/index.html#airflow.contrib.operators.gcp_natural_language_operator.CloudLanguageAnalyzeEntitiesOperator" title="airflow.contrib.operators.gcp_natural_language_operator.CloudLanguageAnalyzeEntitiesOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">CloudLanguageAnalyzeEntitiesOperator</span></code></a> operator.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/contrib/example_dags/example_gcp_natural_language.py</span><a class="example-header-button viewcode-button reference internal" href="../../../_modules/airflow/contrib/example_dags/example_gcp_natural_language.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">analyze_entities</span> <span class="o">=</span> <span class="n">CloudLanguageAnalyzeEntitiesOperator</span><span class="p">(</span><span class="n">document</span><span class="o">=</span><span class="n">document</span><span class="p">,</span> <span class="n">task_id</span><span class="o">=</span><span class="s2">"analyze_entities"</span><span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| <p>You can use <a class="reference internal" href="../../../concepts.html#id1"><span class="std std-ref">Jinja templating</span></a> with |
| <span><code class="docutils literal notranslate"><span class="pre">document</span></code>, <code class="docutils literal notranslate"><span class="pre">gcp_conn_id</span></code></span> |
| parameters which allows you to dynamically determine values. The result is saved to <a class="reference internal" href="../../../concepts.html#concepts-xcom"><span class="std std-ref">XCom</span></a>, which allows it |
| to be used by other operators.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/contrib/example_dags/example_gcp_natural_language.py</span><a class="example-header-button viewcode-button reference internal" href="../../../_modules/airflow/contrib/example_dags/example_gcp_natural_language.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">analyze_entities_result</span> <span class="o">=</span> <span class="n">BashOperator</span><span class="p">(</span> |
| <span class="n">bash_command</span><span class="o">=</span><span class="s2">"echo </span><span class="se">\"</span><span class="s2">{{ task_instance.xcom_pull('analyze_entities') }}</span><span class="se">\"</span><span class="s2">"</span><span class="p">,</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"analyze_entities_result"</span><span class="p">,</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="analyzing-entity-sentiment"> |
| <span id="howto-operator-cloudlanguageanalyzeentitysentimentoperator"></span><h2><a class="toc-backref" href="#id4">Analyzing Entity Sentiment</a><a class="headerlink" href="#analyzing-entity-sentiment" title="Permalink to this headline">¶</a></h2> |
| <p>Sentiment Analysis inspects the given text and identifies the prevailing |
| emotional opinion within the text, especially to determine a writer’s attitude |
| as positive, negative, or neutral. Sentiment analysis is performed through |
| the <a class="reference internal" href="../../../_api/airflow/contrib/operators/gcp_natural_language_operator/index.html#airflow.contrib.operators.gcp_natural_language_operator.CloudLanguageAnalyzeEntitySentimentOperator" title="airflow.contrib.operators.gcp_natural_language_operator.CloudLanguageAnalyzeEntitySentimentOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">CloudLanguageAnalyzeEntitySentimentOperator</span></code></a> |
| operator.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/contrib/example_dags/example_gcp_natural_language.py</span><a class="example-header-button viewcode-button reference internal" href="../../../_modules/airflow/contrib/example_dags/example_gcp_natural_language.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">analyze_entity_sentiment</span> <span class="o">=</span> <span class="n">CloudLanguageAnalyzeEntitySentimentOperator</span><span class="p">(</span> |
| <span class="n">document</span><span class="o">=</span><span class="n">document</span><span class="p">,</span> <span class="n">task_id</span><span class="o">=</span><span class="s2">"analyze_entity_sentiment"</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| <p>You can use <a class="reference internal" href="../../../concepts.html#id1"><span class="std std-ref">Jinja templating</span></a> with |
| <span><code class="docutils literal notranslate"><span class="pre">document</span></code>, <code class="docutils literal notranslate"><span class="pre">gcp_conn_id</span></code></span> |
| parameters which allows you to dynamically determine values. The result is saved to <a class="reference internal" href="../../../concepts.html#concepts-xcom"><span class="std std-ref">XCom</span></a>, which allows it |
| to be used by other operators.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/contrib/example_dags/example_gcp_natural_language.py</span><a class="example-header-button viewcode-button reference internal" href="../../../_modules/airflow/contrib/example_dags/example_gcp_natural_language.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">analyze_entity_sentiment_result</span> <span class="o">=</span> <span class="n">BashOperator</span><span class="p">(</span> |
| <span class="n">bash_command</span><span class="o">=</span><span class="s2">"echo </span><span class="se">\"</span><span class="s2">{{ task_instance.xcom_pull('analyze_entity_sentiment') }}</span><span class="se">\"</span><span class="s2">"</span><span class="p">,</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"analyze_entity_sentiment_result"</span><span class="p">,</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="analyzing-sentiment"> |
| <span id="howto-operator-cloudlanguageanalyzesentimentoperator"></span><h2><a class="toc-backref" href="#id5">Analyzing Sentiment</a><a class="headerlink" href="#analyzing-sentiment" title="Permalink to this headline">¶</a></h2> |
| <p>Sentiment Analysis inspects the given text and identifies the prevailing |
| emotional opinion within the text, especially to determine a writer’s |
| attitude as positive, negative, or neutral. Sentiment analysis is performed |
| through the |
| <a class="reference internal" href="../../../_api/airflow/contrib/operators/gcp_natural_language_operator/index.html#airflow.contrib.operators.gcp_natural_language_operator.CloudLanguageAnalyzeSentimentOperator" title="airflow.contrib.operators.gcp_natural_language_operator.CloudLanguageAnalyzeSentimentOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">CloudLanguageAnalyzeSentimentOperator</span></code></a> |
| operator.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/contrib/example_dags/example_gcp_natural_language.py</span><a class="example-header-button viewcode-button reference internal" href="../../../_modules/airflow/contrib/example_dags/example_gcp_natural_language.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">analyze_sentiment</span> <span class="o">=</span> <span class="n">CloudLanguageAnalyzeSentimentOperator</span><span class="p">(</span><span class="n">document</span><span class="o">=</span><span class="n">document</span><span class="p">,</span> <span class="n">task_id</span><span class="o">=</span><span class="s2">"analyze_sentiment"</span><span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| <p>You can use <a class="reference internal" href="../../../concepts.html#id1"><span class="std std-ref">Jinja templating</span></a> with |
| <span><code class="docutils literal notranslate"><span class="pre">document</span></code>, <code class="docutils literal notranslate"><span class="pre">gcp_conn_id</span></code></span> |
| parameters which allows you to dynamically determine values. The result is saved to <a class="reference internal" href="../../../concepts.html#concepts-xcom"><span class="std std-ref">XCom</span></a>, which allows it |
| to be used by other operators.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/contrib/example_dags/example_gcp_natural_language.py</span><a class="example-header-button viewcode-button reference internal" href="../../../_modules/airflow/contrib/example_dags/example_gcp_natural_language.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">analyze_sentiment_result</span> <span class="o">=</span> <span class="n">BashOperator</span><span class="p">(</span> |
| <span class="n">bash_command</span><span class="o">=</span><span class="s2">"echo </span><span class="se">\"</span><span class="s2">{{ task_instance.xcom_pull('analyze_sentiment') }}</span><span class="se">\"</span><span class="s2">"</span><span class="p">,</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"analyze_sentiment_result"</span><span class="p">,</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="classifying-content"> |
| <span id="howto-operator-cloudlanguageclassifytextoperator"></span><h2><a class="toc-backref" href="#id6">Classifying Content</a><a class="headerlink" href="#classifying-content" title="Permalink to this headline">¶</a></h2> |
| <p>Content Classification analyzes a document and returns a list of content |
| categories that apply to the text found in the document. To classify the |
| content in a document, use the |
| <a class="reference internal" href="../../../_api/airflow/contrib/operators/gcp_natural_language_operator/index.html#airflow.contrib.operators.gcp_natural_language_operator.CloudLanguageClassifyTextOperator" title="airflow.contrib.operators.gcp_natural_language_operator.CloudLanguageClassifyTextOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">CloudLanguageClassifyTextOperator</span></code></a> |
| operator.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/contrib/example_dags/example_gcp_natural_language.py</span><a class="example-header-button viewcode-button reference internal" href="../../../_modules/airflow/contrib/example_dags/example_gcp_natural_language.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">analyze_classify_text</span> <span class="o">=</span> <span class="n">CloudLanguageClassifyTextOperator</span><span class="p">(</span> |
| <span class="n">document</span><span class="o">=</span><span class="n">document</span><span class="p">,</span> <span class="n">task_id</span><span class="o">=</span><span class="s2">"analyze_classify_text"</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| <p>You can use <a class="reference internal" href="../../../concepts.html#id1"><span class="std std-ref">Jinja templating</span></a> with |
| <span><code class="docutils literal notranslate"><span class="pre">document</span></code>, <code class="docutils literal notranslate"><span class="pre">gcp_conn_id</span></code></span> |
| parameters which allows you to dynamically determine values. The result is saved to <a class="reference internal" href="../../../concepts.html#concepts-xcom"><span class="std std-ref">XCom</span></a>, which allows it |
| to be used by other operators.</p> |
| <div class="example-block-wrapper docutils container"> |
| <p class="example-header example-header--with-button"><span class="example-title">airflow/contrib/example_dags/example_gcp_natural_language.py</span><a class="example-header-button viewcode-button reference internal" href="../../../_modules/airflow/contrib/example_dags/example_gcp_natural_language.html"><span>View Source</span></a></p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">analyze_classify_text_result</span> <span class="o">=</span> <span class="n">BashOperator</span><span class="p">(</span> |
| <span class="n">bash_command</span><span class="o">=</span><span class="s2">"echo </span><span class="se">\"</span><span class="s2">{{ task_instance.xcom_pull('analyze_classify_text') }}</span><span class="se">\"</span><span class="s2">"</span><span class="p">,</span> |
| <span class="n">task_id</span><span class="o">=</span><span class="s2">"analyze_classify_text_result"</span><span class="p">,</span> |
| <span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="reference"> |
| <h2><a class="toc-backref" href="#id7">Reference</a><a class="headerlink" href="#reference" title="Permalink to this headline">¶</a></h2> |
| <p>For further information, look at:</p> |
| <ul class="simple"> |
| <li><p><a class="reference external" href="https://googleapis.github.io/google-cloud-python/latest/language/index.html">Client Library Documentation</a></p></li> |
| <li><p><a class="reference external" href="https://cloud.google.com/natural-language/docs/">Product Documentation</a></p></li> |
| </ul> |
| </div> |
| </div> |
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