Abstract: A device that includes an enterprise data indexing engine (EDIE) configured to obtain a set of sentences from a document and to compare the words from each of the sentences to a set of keywords. The EDIE is further configured to identify one or more sentences that do not contain any of the keywords and to associate the identified sentences with a first classification type. The EDIE is further configured to identify a sentence that contains one or more keywords and to associate the sentence with a second classification type. The EDIE is further configured to link together the sentence that is associated with the second classification type and the sentences that are associated with the first classification type. The EDIE is further configured to obtain a classification description and a token and to link the classification description and its token with the classified sentences.

Abstract: A device that includes an enterprise data indexing engine (EDIE) configured to receive a set of sentences and to compare the words in the sentences to a set of predefined keywords. The EDIE is further configured to identify one or more sentences that do not contain any of the keywords and to associate the identified sentences with a first classification type. The EDIE is further configured to identify a sentence that contains one or more keywords and to associate the sentence with a second classification type. The EDIE is further configured to link together the sentence that is associated with the second classification type and the sentences that are associated with the first classification type.

Abstract: A device that includes an enterprise data indexing engine (EDIE) configured to obtain a set of sentences from a document, to associate one or more of the sentences with a first classification type, to associate one of the sentences with a second classification type, and to link the classified sentences together. The EDIE is further configured to determine a set of similarity scores between the classified sentences and a plurality of classification descriptions. The EDIE is further configured to identify a classification description that is associated with the highest similarity, to identify a token associated with the identified classification description, and to output the token.

Abstract: A device that includes an enterprise data indexing engine (EDIE) configured to receive a set of input sentences and to determine a set of similarity scores between the set of input sentences and a plurality of classification descriptions. The EDIE is further configured to identify a classification description that is associated with the highest similarity score and to identify a token that is associated with the identified classification description. The EDIE is further configured to link the identified token with the set of input sentences.

Abstract: A device that includes an enterprise data indexing engine (EDIE) configured to receive a document that contains text and to convert the document into a markup language code. The EDIE is further configured to identify tags within the markup language code and to parse the markup language code into logical sections based on the tags. The EDIE is further configured to identify sentences within each of the logical sections and to link the identified sentences with a location identifier that identifies a location within the document where a sentence is located.

Abstract: A device that includes an enterprise data indexing engine (EDIE) configured to determine a first set of similarity scores between a first set of sentences from a first document and a plurality of classification descriptions. The EDIE is further configured to identify one or more classification descriptions that have a similarity score that exceeds a predetermined threshold value. The EDIE is further configured to determine a second set of similarity scores between a second set of sentences from a second document and the plurality of classification descriptions. The EDIE is further configured to identify one or more classification descriptions that have a similarity score that exceeds the predetermined threshold value. The EDIE is further configured to populate a data structure that identifies the tokens within the first set of tokens and the second set of tokens and the number of times each token appears.

Abstract: A device that includes an enterprise data indexing engine (EDIE) configured to receive a set of sentences and to compare the words in the sentences to a set of predefined keywords. The EDIE is further configured to identify one or more sentences that do not contain any of the keywords and to associate the identified sentences with a first classification type. The EDIE is further configured to identify a sentence that contains one or more keywords and to associate the sentence with a second classification type. The EDIE is further configured to link together the sentence that is associated with the second classification type and the sentences that are associated with the first classification type.

Abstract: A device that includes an enterprise data indexing engine (EDIE) configured to receive a set of sentences and to compare the words in the sentences to a set of predefined keywords. The EDIE is further configured to identify one or more sentences that do not contain any of the keywords and to associate the identified sentences with a first classification type. The EDIE is further configured to identify a sentence that contains one or more keywords and to associate the sentence with a second classification type. The EDIE is further configured to link together the sentence that is associated with the second classification type and the sentences that are associated with the first classification type.

Abstract: A device that includes an enterprise data indexing engine (EDIE) configured to receive a document comprising text and to convert the document into a markup language code. The EDIE is further configured to identify tags within the markup language code and to parse the markup language code into logical sections based on the tags. The EDIE is further configured to identify sentences within each of the logical sections and to link the identified sentences with a classification type. The EDIE is further configured to use the classified sentences to train a custom machine learning model.

Abstract: A device that includes an enterprise data indexing engine (EDIE) configured to obtain a set of sentences from a document and to compare the words from each of the sentences to a set of keywords. The EDIE is further configured to identify one or more sentences that do not contain any of the keywords and to associate the identified sentences with a first classification type. The EDIE is further configured to identify a sentence that contains one or more keywords and to associate the sentence with a second classification type. The EDIE is further configured to link together the sentence that is associated with the second classification type and the sentences that are associated with the first classification type. The EDIE is further configured to obtain a classification description and a token and to link the classification description and its token with the classified sentences.