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Copy file name to clipboardExpand all lines: natural-language-understanding/src/main/java/com/ibm/watson/developer_cloud/natural_language_understanding/v1/NaturalLanguageUnderstanding.java
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@@ -77,25 +77,7 @@ public NaturalLanguageUnderstanding(String versionDate, String username, String
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}
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/**
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* Analyze text, HTML, or a public webpage.
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*
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* Analyzes text, HTML, or a public webpage with one or more text analysis features. ### Concepts Identify general
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* concepts that are referenced or alluded to in your content. Concepts that are detected typically have an associated
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* link to a DBpedia resource. ### Emotion Detect anger, disgust, fear, joy, or sadness that is conveyed by your
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* content. Emotion information can be returned for detected entities, keywords, or user-specified target phrases
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* found in the text. ### Entities Detect important people, places, geopolitical entities and other types of entities
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* in your content. Entity detection recognizes consecutive coreferences of each entity. For example, analysis of the
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* following text would count \"Barack Obama\" and \"He\" as the same entity: \"Barack Obama was the 44th President of
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* the United States. He took office in January 2009.\" ### Keywords Determine the most important keywords in your
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* content. Keyword phrases are organized by relevance in the results. ### Metadata Get author information,
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* publication date, and the title of your text/HTML content. ### Relations Recognize when two entities are related,
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* and identify the type of relation. For example, you can identify an \"awardedTo\" relation between an award and its
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* recipient. ### Semantic Roles Parse sentences into subject-action-object form, and identify entities and keywords
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* that are subjects or objects of an action. ### Sentiment Determine whether your content conveys postive or negative
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* sentiment. Sentiment information can be returned for detected entities, keywords, or user-specified target phrases
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* found in the text. ### Categories Categorize your content into a hierarchical 5-level taxonomy. For example,
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* \"Leonardo DiCaprio won an Oscar\" returns \"/art and entertainment/movies and tv/movies\" as the most confident
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* classification.
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* Analyze text, HTML, or a public webpage with one or more text analysis features.
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*
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* @param analyzeOptions the {@link AnalyzeOptions} containing the options for the call
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* @return a {@link ServiceCall} with a response type of {@link AnalysisResults}
Copy file name to clipboardExpand all lines: personality-insights/src/main/java/com/ibm/watson/developer_cloud/personality_insights/v3/PersonalityInsights.java
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