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Describes the key components that are used to develop a WebFOCUS Social Media Integration solution.
The Facebook Adapter provides the ability to retrieve information directly from Facebook. The adapter can access any other textual information in accordance with user-granted permissions. Page administrators and application owners have access to Facebook Page metric information, such as Page Likes by Country and Page Likes by City.
The Facebook Adapter provides you with the following capabilities:
In addition, the Create Synonym functionality creates metadata, sample reports, and DataMigrator flows.
The Twitter Adapter provides reporting capabilities from Twitter. Twitter is an online social networking and microblogging service that enables users to send and read text-based messages of up to 140 characters, called tweets. The Twitter Adapter provides the ability to read tweets for a specific Screen Name and perform searches on a number of different parameters based on words indexed by Twitter in tweets.
Note: The Twitter API only returns the last 3,200 tweets for a particular Screen Name.
The Words Analysis Adapter counts the occurrences of each word. It also uses a Stopwords file to populate and determine which words to exclude in the adapter. The results are displayed in a Tabular report or graph.
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WAND® DataFacet® Taxonomy Server is third-party software provided by WAND Inc. that is resold by Information Builders. The Taxonomy Server evaluates content and returns a sentiment score based on a default Sentiment Taxonomy. The Sentiment Taxonomy can be customized with the use of the WAND Taxonomy Editor.
The WAND Sentiment Analysis Adapter creates a connection to the WAND Taxonomy Server. Textual information is passed to WAND from within WebFOCUS procedures for Sentiment Analysis evaluation. The adapter passes the textual information to the WAND Taxonomy Server thereby analyzing the text for negative or positive sentiment with scores ranging from -1 to 1.
Alchemy provides a service whereby textual information can be passed to its API, which would then return a sentiment score. Using algorithms, the score returned by the Alchemy API determines the sentiment as to a negative or positive feeling about a particular item. Textual information is passed to Alchemy from within WebFOCUS procedures for Sentiment Analysis evaluation. The Alchemy Sentiment Analysis Adapter passes the textual information to the Alchemy API whereby the text is analyzed for negative or positive sentiment with scores ranging from -1 to 1.
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