Abstract: A lexical annotator that identifies a chunk of a communication and an associated sentiment is created. In real time, while monitoring a communication from a user, the lexical annotator is used to identify the sentiment for the chunk of the communication, and the sentiment for the chunk of the communication is provided.

Abstract: A method, system and computer program product for creating a subject annotator. A user input query is accepted and specifies a target subject to be annotated. Based on the query, a search for similar words to the target subject is conducted and creates a set of related terms. The set of related terms are used to search for and identify further related terms. Both the related terms and further related terms are added to a master word list. The master word list is used to annotate the target subject.

Abstract: A method, system and computer program product for creating a subject annotator. A user input query is accepted and specifies a target subject to be annotated. Based on the query, a search for similar words to the target subject is conducted and creates a set of related terms. The set of related terms are used to search for and identify further related terms. Both the related terms and further related terms are added to a master word list. The master word list is used to annotate the target subject.

Abstract: Determining a subject type for an entity in a text segment. A text segment is selected, which includes one or more single-word or multi-word entities. Natural language processing is performed on the selected text segment to identify entities that constitute subjects of the selected text segment. One entity is selected. A variant annotation is associated with the selected entity. The variant annotation reflects multiple subject types for the selected entity and a value for each subject type. The most probable subject type is determined for the selected entity, based on a combination of natural language processing rules and dictionary listings. The value of the annotation is incremented for the subject type corresponding to the most probable subject type for the selected entity, so that the highest value of the annotation indicates the most probable subject type for the selected entity within the selected text segment.

Abstract: Computer-implemented method, computer-program product, and system for performing an operation, the operation beginning by receiving a request for a product summary, the request identifying a product. The operation then determines, by searching a plurality of opinions, a primary characterization of a positive aspect of the product and a primary characterization of a negative aspect of the product. The operation then determines, by searching the plurality of opinions, a secondary characterization of at least one of the positive aspect and the negative aspect of the product. The operation then generates a product summary for the identified product, wherein the product summary identifies the product and includes the primary characterization of the positive aspect, the primary characterization of the negative aspect, and the secondary characterization. The operation then outputs the generated product summary responsive to the request for the product summary.

Abstract: According to one embodiment of the present invention, a system determines a demographic group associated with a document, and comprises a computer system including at least one processor. The system analyzes sample documents from one or more demographic groups to determine a demographic profile for each of the demographic groups based on one or more textual features within the sample documents. The one or more textual features within a document are evaluated and a document profile is generated based on the one or more textual features. The document profile is compared to the demographic profiles to identify the demographic group associated with the document. Embodiments of the present invention further include a method and computer program product for determining a demographic group associated with a document in substantially the same manner described above.