Alchemy Services

Installation

Maven

<dependency>
	<groupId>com.ibm.watson.developer_cloud</groupId>
	<artifactId>alchemy</artifactId>
	<version>3.5.3</version>
</dependency>

Gradle

'com.ibm.watson.developer_cloud:alchemy:3.5.3'

Alchemy Language

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

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

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);

Concept Insights

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.