10. A computer-implemented method for detecting hidden information and generating a structured data object from an unstructured data source, comprising: defining a first information type for extracting a text unit from a text content, and creating a first label as a description of the first information type; defining a second information type as a sub-type of the first information type, and creating a second label as a description of the second information type, wherein the second information type represents a subclass of instances that are associated with the first information type; receiving a text content as an unstructured data source comprising a plurality of terms, each comprising a word or a phrase; identifying a text unit comprising a first term in the text content; identifying a first attribute associated with the first term; determining whether the text unit is associated with the first information type based on the first attribute; identifying a second attribute associated with a term in the text unit; determining whether the text unit is associated with the second information type based on the second attribute; if the text unit is determined to be associated with the first information type, generating a first data object comprising a first data field; associating the first data field with the first label, wherein the first label is not an element extracted from the text unit, wherein the first information type is not explicitly indicated in the text unit; and creating a structured data presentation format as a transformation from an unstructured data source, wherein the structured data presentation format comprises the first data field annotated by the first label; associating the structured data presentation format to a text data analysis tool, wherein the text data analysis tool comprises an element selected from the group consisting of at least an enterprise call center data analysis tool, a customer support text data analysis tool, a text mining tool; using the text data analysis tool to conduct a structured query, based on the structured data presentation format, for information originally hidden in an unstructured data source; and displaying, in a user interface associated with the text data analysis tool, the structured data presentation format as an enhanced information presentation functionality of the user interface for information originally hidden in an unstructured data source.
10. A computer-implemented method for detecting hidden information and generating a structured data object from an unstructured data source, comprising: defining a first information type for extracting a text unit from a text content, and creating a first label as a description of the first information type; defining a second information type as a sub-type of the first information type, and creating a second label as a description of the second information type, wherein the second information type represents a subclass of instances that are associated with the first information type; receiving a text content as an unstructured data source comprising a plurality of terms, each comprising a word or a phrase; identifying a text unit comprising a first term in the text content; identifying a first attribute associated with the first term; determining whether the text unit is associated with the first information type based on the first attribute; identifying a second attribute associated with a term in the text unit; determining whether the text unit is associated with the second information type based on the second attribute; if the text unit is determined to be associated with the first information type, generating a first data object comprising a first data field; associating the first data field with the first label, wherein the first label is not an element extracted from the text unit, wherein the first information type is not explicitly indicated in the text unit; and creating a structured data presentation format as a transformation from an unstructured data source, wherein the structured data presentation format comprises the first data field annotated by the first label; associating the structured data presentation format to a text data analysis tool, wherein the text data analysis tool comprises an element selected from the group consisting of at least an enterprise call center data analysis tool, a customer support text data analysis tool, a text mining tool; using the text data analysis tool to conduct a structured query, based on the structured data presentation format, for information originally hidden in an unstructured data source; and displaying, in a user interface associated with the text data analysis tool, the structured data presentation format as an enhanced information presentation functionality of the user interface for information originally hidden in an unstructured data source. 12. The computer-implemented method of claim 10 , further comprising: determining, based on the first attribute, a likelihood value for determining whether the text unit is associated with the first information type; or determining, based on the second attribute, a likelihood value for determining whether the text unit is associated with the second information type.