Abstract: Computer-implemented consumer analytics logic accesses, in computer memory, data comprising user-authored text and includes sentic computing logic to identify, in the data, one or more lexical items in the text and determine a meaning for at least a subset of the one or more lexical items, where corresponding lexical units define the meaning determined for each of the subsets of lexical items. A determination is made by the consumer analytics logic as to whether each lexical unit maps to one or more factors in a set of factors of a model, the set of factors defined to include an attitudinal factor, a sociocultural factor, a personal factor, and a behavioral factor. A consumer sentiment is determined to be expressed in the text based on the model and the analysis.

Abstract: Systems and methods (e.g., utilities) for use in providing automated, lightweight collection of online, open source data which may be content-based to reduce website source bias. In one aspect, a utility is disclosed for use in extracting content of interest from at least one website or other online data source (e.g., where the extracted content can be used in a subsequent search query). In other aspects, utilities are disclosed that are operable to perform various types of analyzes on such extracted content and present graphical representations of such analyzes on a display of a client device.

Abstract: A corpus of text data is accessed that includes a plurality of sentences and each of these sentences is parsed to determine, for each word, a corresponding meaning. A particular one of the sentences is determined to correspond to a particular occasion based on the determined meanings of one or more words of the particular sentence and is further determined to reference a product or service. A relationship is determined between the product or service and the particular occasion based on the particular sentence. One or more words of the particular sentence are determined to indicate a psychological characteristic of an author of the particular sentence. Consumer analytics data is generated to at least identify the relationship between the product or service and the particular occasion.

Abstract: Systems and methods (e.g., utilities) for use in providing automated, lightweight collection of online, open source data which may be content-based to reduce website source bias. In one aspect, a utility is disclosed for use in extracting content of interest from at least one website or other online data source (e.g., where the extracted content can be used in a subsequent search query). In other aspects, utilities are disclosed that are operable to perform various types of analyzes on such extracted content and present graphical representations of such analyzes on a display of a client device.

Abstract: Computer-implemented consumer analytics logic accesses, in computer memory, data comprising user-authored text and includes sentic computing logic to identify, in the data, one or more lexical items in the text and determine a meaning for at least a subset of the one or more lexical items, where corresponding lexical units define the meaning determined for each of the subsets of lexical items. A determination is made by the consumer analytics logic as to whether each lexical unit maps to one or more factors in a set of factors of a model, the set of factors defined to include an attitudinal factor, a sociocultural factor, a personal factor, and a behavioral factor. A consumer sentiment is determined to be expressed in the text based on the model and the analysis.

Abstract: A method for intent mining is provided. The method includes performing a preliminary search of a constrained source using one or more seed phrases to generate multiple preliminary search results representing different ways of expressing a desired intent. The method also includes identifying each of the plurality of preliminary search results that have expressed the desired intent to generate a plurality of intent results. The method also includes producing multiple action search strings around one or more action verbs in each of the multiple intent results. The method further includes applying each of the multiple action search strings on one or more non-constrained sources to generate multiple action search results.

Abstract: Systems and methods (e.g., utilities) for use in providing automated, lightweight collection of online, open source data which may be content-based to reduce website source bias. In one aspect, a utility is disclosed for use in extracting content of interest from at least one website or other online data source (e.g., where the extracted content can be used in a subsequent search query). In other aspects, utilities are disclosed that are operable to perform various types of analyses on such extracted content and present graphical representations of such analyses on a display of a client device.

Abstract: Systems and methods (e.g., utilities) for use in providing automated, lightweight collection of online, open source data which may be content-based to reduce website source bias. In one aspect, a utility is disclosed for use in extracting content of interest from at least one website or other online data source (e.g., where the extracted content can be used in a subsequent search query). In other aspects, utilities are disclosed that are operable to perform various types of analyzes on such extracted content and present graphical representations of such analyzes on a display of a client device.

Abstract: Systems and methods (e.g., utilities) for use in providing automated, lightweight collection of online, open source data which may be content-based to reduce website source bias. In one aspect, a utility is disclosed for use in extracting content of interest from at least one website or other online data source (e.g., where the extracted content can be used in a subsequent search query). In other aspects, utilities are disclosed that are operable to perform various types of analyses on such extracted content and present graphical representations of such analyses on a display of a client device.

Abstract: Systems and methods (e.g., utilities) for use in providing automated, lightweight collection of online, open source data which may be content-based to reduce website source bias. In one aspect, a utility is disclosed for use in extracting content of interest from at least one website or other online data source (e.g., where the extracted content can be used in a subsequent search query). In other aspects, utilities are disclosed that are operable to perform various types of analyses on such extracted content and present graphical representations of such analyses on a display of a client device.

Abstract: Systems and methods (e.g., utilities) for use in providing automated, lightweight collection of online, open source data which may be content-based to reduce website source bias. In one aspect, a utility is disclosed for use in extracting content of interest from at least one website or other online data source (e.g., where the extracted content can be used in a subsequent search query). In other aspects, utilities are disclosed that are operable to perform various types of analyses on such extracted content and present graphical representations of such analyses on a display of a client device.

Abstract: Systems and methods (e.g., utilities) for use in providing automated, lightweight collection of online, open source data which may be content-based to reduce website source bias. In one aspect, a utility is disclosed for use in extracting content of interest from at least one website or other online data source (e.g., where the extracted content can be used in a subsequent search query). In other aspects, utilities are disclosed that are operable to perform various types of analyses on such extracted content and present graphical representations of such analyses on a display of a client device.

Abstract: Systems and methods (e.g., utilities) for use in providing automated, lightweight collection of online, open source data which may be content-based to reduce website source bias. In one aspect, a utility is disclosed for use in extracting content of interest from at least one website or other online data source (e.g., where the extracted content can be used in a subsequent search query). In other aspects, utilities are disclosed that are operable to perform various types of analyses on such extracted content and present graphical representations of such analyses on a display of a client device.

Abstract: Systems and methods (e.g., utilities) for use in providing automated, lightweight collection of online, open source data which may be content-based to reduce website source bias. In one aspect, a utility is disclosed for use in extracting content of interest from at least one website or other online data source (e.g., where the extracted content can be used in a subsequent search query). In other aspects, utilities are disclosed that are operable to perform various types of analyses on such extracted content and present graphical representations of such analyses on a display of a client device.

Abstract: A method for intent mining is provided. The method includes performing a preliminary search of a constrained source using one or more seed phrases to generate multiple preliminary search results representing different ways of expressing a desired intent. The method also includes identifying each of the plurality of preliminary search results that have expressed the desired intent to generate a plurality of intent results. The method also includes producing multiple action search strings around one or more action verbs in each of the multiple intent results. The method further includes applying each of the multiple action search strings on one or more non-constrained sources to generate multiple action search results.

Abstract: Extracting and analyzing online discussions to identify prospects of a subject is provided.