<dependency>
<groupId>com.ibm.watson.developer_cloud</groupId>
<artifactId>alchemy</artifactId>
<version>3.5.3</version>
</dependency>'com.ibm.watson.developer_cloud:alchemy:3.5.3'Alchemy Language offers 12 API functions as part of its text analysis service, each of which uses sophisticated natural language processing techniques to analyze your content and add high-level semantic information.
Use the Sentiment Analysis endpoint to identify positive/negative sentiment within a sample text document.
AlchemyLanguage service = new AlchemyLanguage();
service.setApiKey("<api_key>");
Map<String,Object> params = new HashMap<String, Object>();
params.put(AlchemyLanguage.TEXT, "IBM Watson won the Jeopardy television show hosted by Alex Trebek");
DocumentSentiment sentiment = service.getSentiment(params).execute();
System.out.println(sentiment);Alchemy Vision uses deep learning innovations to understand a picture's content and context. It sees complex visual scenes in their entirety —without needing any textual clues— leveraging a holistic approach to understand the objects, faces, and words in an image.
Example: Extract keywords from an image.
AlchemyVision service = new AlchemyVision();
service.setApiKey("<api_key>");
File image = new File("src/test/resources/alchemy/obama.jpg");
Boolean forceShowAll = false;
Boolean knowledgeGraph = false;
ImageKeywords keywords = service.getImageKeywords(image, forceShowAll, knowledgeGraph).execute();
System.out.println(keywords);Alchemy Data News indexes 250k to 300k English language news and
blog articles every day with historical search available for the past 60 days.
Example: Get 7 documents between Friday 28th August 2015 and Friday 4th September 2015.
AlchemyDataNews service = new AlchemyDataNews();
service.setApiKey("<api_key>");
Map<String, Object> params = new HashMap<String, Object>();
String[] fields =
new String[] {"enriched.url.title", "enriched.url.url", "enriched.url.author",
"enriched.url.publicationDate", "enriched.url.enrichedTitle.entities",
"enriched.url.enrichedTitle.docSentiment"};
params.put(AlchemyDataNews.RETURN, StringUtils.join(fields, ","));
params.put(AlchemyDataNews.START, "1440720000");
params.put(AlchemyDataNews.END, "1441407600");
params.put(AlchemyDataNews.COUNT, 7);
DocumentsResult result = service.getNewsDocuments(params).execute();
System.out.println(result);The Concept Insights has been deprecated, AlchemyLanguage's concept function can be used as a replacement for most Concept Insights use cases; therefore, we encourage existing Concept Insights service users to migrate to AlchemyLanguage.