Abstract: A method of classifying an electronic document from an electronic media source includes generating statistical data from one or more training documents and creating a plurality of classification rules, including creating at least one topic model-based classification rule using the statistical data and creating at least one query-based classification rule using one or more user defined categories and the statistical data. The method further includes classifying the electronic document using the at least one topic model-based classification rule. Example systems for classifying an electronic document from an electronic media source are also disclosed.

Abstract: A system includes at least one processor to perform natural language processing on text from at least one document and assign the at least one document to at least one subjective wellbeing dimension by comparing the text from the at least one document with a subjective wellbeing dimension filter for each subjective wellbeing dimension, insert the at least one document into at least one bin, each bin associated with a particular subjective wellbeing dimension, and analyze each document in each bin associated with the particular subjective wellbeing dimension to determine a score for each subjective wellbeing dimension and an overall score that is based on each score for each subjective wellbeing dimension.

Abstract: A computer system identifies and prioritizes issues in electronic documents from electronic social media sources and/or from traditional media sources. The computer system includes a communication network linked to one or more of the sources and a computer server in communication with the communication network. The computer server is configured to receive electronic documents from the sources via the communication network. The computer server has memory and a processor, the memory including processor executable instructions stored in the memory and executable by the processor. The instructions comprise data collection instructions, topic modeling instructions including instructions for weighing and instructions for indicating a distribution for identified issues within each of the retrieved documents, issue assignment instructions, instructions for determining, and instructions for ranking.

Abstract: A system includes at least one processor to perform natural language processing on text from at least one document and assign the at least one document to at least one subjective wellbeing dimension by comparing the text from the at least one document with a subjective wellbeing dimension filter for each subjective wellbeing dimension, insert the at least one document into at least one bin, each bin associated with a particular subjective wellbeing dimension, and analyze each document in each bin associated with the particular subjective wellbeing dimension to determine a score for each subjective wellbeing dimension and an overall score that is based on each score for each subjective wellbeing dimension.

Abstract: A computer system measures trust of an entity in electronic documents from electronic media sources is described. A communication network is linked to one or more of the sources. A computer server is in communication with the communication network and is configured to receive electronic documents via the communication network. The computer server having a memory and a processor accessing a database. The memory includes processor executable instructions stored in the memory and executable by the processor. The computer executable instructions comprise preliminary term vector instructions, calculating instructions for determining the preliminary term vectors in the received electronic documents, and refined term vector instructions for defining a plurality of industry-specific term vectors.

Abstract: A computer system identifies and prioritizes issues in electronic documents from electronic social media sources and/or from traditional media sources. The computer system includes a communication network linked to one or more of the sources and a computer server in communication with the communication network. The computer server is configured to receive electronic documents from the sources via the communication network. The computer server has memory and a processor, the memory including processor executable instructions stored in the memory and executable by the processor. The instructions comprise data collection instructions, topic modeling instructions including instructions for weighing and instructions for indicating a distribution for identified issues within each of the retrieved documents, issue assignment instructions, instructions for determining, and instructions for ranking.

Abstract: A system includes at least one processor to perform natural language processing on text from at least one document and assign the at least one document to at least one subjective wellbeing dimension by comparing the text from the at least one document with a subjective wellbeing dimension filter for each subjective wellbeing dimension, insert the at least one document into at least one bin, each bin associated with a particular subjective wellbeing dimension, and analyze each document in each bin associated with the particular subjective wellbeing dimension to determine a score for each subjective wellbeing dimension and an overall score that is based on each score for each subjective wellbeing dimension.

Abstract: A method for determining a risk of an emotional response of an audience to at least one publication is described. Additionally, a computing device for determining a risk of an emotional response of an audience to at least one publication is described. Moreover, a computer-readable storage device having processor-executable instructions embodied thereon, for determining a risk of an emotional response of an audience to at least one publication, is described.

Abstract: A computer system identifies and prioritizes issues in electronic documents from electronic social media sources and/or from traditional media sources. The computer system includes a communication network linked to one or more of the sources and a computer server in communication with the communication network. The computer server is configured to receive electronic documents from the sources via the communication network. The computer server has memory and a processor, the memory including processor executable instructions stored in the memory and executable by the processor. The instructions comprise data collection instructions, topic modeling instructions including instructions for weighing and instructions for indicating a distribution for identified issues within each of the retrieved documents, issue assignment instructions, instructions for determining, and instructions for ranking.

Abstract: A computer system measures trust of an entity in electronic documents from electronic media sources is described. A communication network is linked to one or more of the sources. A computer server is in communication with the communication network and is configured to receive electronic documents via the communication network. The computer server having a memory and a processor accessing a database. The memory includes processor executable instructions stored in the memory and executable by the processor. The computer executable instructions comprise preliminary term vector instructions, calculating instructions for determining the preliminary term vectors in the received electronic documents, and refined term vector instructions for defining a plurality of industry-specific term vectors.

Abstract: A computer system measures trust of an entity in electronic documents from electronic media sources is described. A communication network is linked to one or more of the sources. A computer server is in communication with the communication network and is configured to receive electronic documents via the communication network. The computer server having a memory and a processor accessing a database. The memory includes processor executable instructions stored in the memory and executable by the processor. The computer executable instructions comprise preliminary term vector instructions, calculating instructions for determining the preliminary term vectors in the received electronic documents, and refined term vector instructions for defining a plurality of industry-specific term vectors.

Abstract: A method of classifying an electronic document from an electronic media source includes generating statistical data from one or more training documents and creating a plurality of classification rules, including creating at least one topic model-based classification rule using the statistical data and creating at least one query-based classification rule using one or more user defined categories and the statistical data. The method further includes classifying the electronic document using the at least one topic model-based classification rule. Example systems for classifying an electronic document from an electronic media source are also disclosed.

Abstract: A method for determining a risk of an emotional response of an audience to at least one publication is described. Additionally, a computing device for determining a risk of an emotional response of an audience to at least one publication is described. Moreover, a computer-readable storage device having processor-executable instructions embodied thereon, for determining a risk of an emotional response of an audience to at least one publication, is described.

Abstract: A computer system identifies and prioritizes issues in electronic documents from electronic social media sources and/or from traditional media sources. The computer system includes a communication network linked to one or more of the sources and a computer server in communication with the communication network. The computer server is configured to receive electronic documents from the sources via the communication network. The computer server has memory and a processor, the memory including processor executable instructions stored in the memory and executable by the processor. The instructions comprise data collection instructions, topic modeling instructions including instructions for weighing and instructions for indicating a distribution for identified issues within each of the retrieved documents, issue assignment instructions, instructions for determining, and instructions for ranking.

Abstract: A computer system identifies and prioritizes issues in electronic documents from electronic social media sources and/or from traditional media sources. The computer system includes a communication network linked to one or more of the sources and a computer server in communication with the communication network. The computer server is configured to receive electronic documents from the sources via the communication network. The computer server has memory and a processor, the memory including processor executable instructions stored in the memory and executable by the processor. The instructions comprise data collection instructions, topic modeling instructions including instructions for weighing and instructions for indicating a distribution for identified issues within each of the retrieved documents, issue assignment instructions, instructions for determining, and instructions for ranking.

Abstract: A method of classifying an electronic document from an electronic media source includes generating statistical data from one or more training documents and creating a plurality of classification rules, including creating at least one topic model-based classification rule using the statistical data and creating at least one query-based classification rule using one or more user defined categories and the statistical data. The method further includes classifying the electronic document using the at least one topic model-based classification rule. Example systems for classifying an electronic document from an electronic media source are also disclosed.

Abstract: A method for determining a risk of an emotional response of an audience to at least one publication is described. Additionally, a computing device for determining a risk of an emotional response of an audience to at least one publication is described. Moreover, a computer-readable storage device having processor-executable instructions embodied thereon, for determining a risk of an emotional response of an audience to at least one publication, is described.