Abstract: Disclosed herein are techniques related to automated generation of regular expressions. In some embodiments, a regular expression generator may receive input data comprising one or more character sequences. The regular expression generator may convert character sequences into a sets of regular expression codes and/or span data structures. The regular expression generator may identify a longest common subsequence shared by the sets of regular expression codes and/or spans, and may generate a regular expression based upon the longest common subsequence.

Abstract: Disclosed herein are techniques related to automated generation of regular expressions. In some embodiments, a regular expression generator may receive input data comprising one or more character sequences. The regular expression generator may convert character sequences into a sets of regular expression codes and/or span data structures. The regular expression generator may identify a longest common subsequence shared by the sets of regular expression codes and/or spans, and may generate a regular expression based upon the longest common subsequence.

Abstract: Disclosed herein are techniques related to automated generation of regular expressions. In some embodiments, a regular expression generator may receive input data comprising one or more character sequences. The regular expression generator may convert character sequences into a sets of regular expression codes and/or span data structures. The regular expression generator may identify a longest common subsequence shared by the sets of regular expression codes and/or spans, and may generate a regular expression based upon the longest common subsequence.

Abstract: Disclosed herein are techniques related to automated generation of regular expressions. In some embodiments, a regular expression generator may receive input data comprising one or more character sequences. The regular expression generator may convert character sequences into a sets of regular expression codes and/or span data structures. The regular expression generator may identify a longest common subsequence shared by the sets of regular expression codes and/or spans, and may generate a regular expression based upon the longest common subsequence.

Abstract: Techniques are disclosed for toponym disambiguation. Toponym disambiguation can be performed for a set of geographic location data, such as placenames. A subset of the data and additional location information associated with the subset of the data can be initially determined. The remaining geographic location data in the set of geographic location data can be scored in order to determined additional location information for the remaining geographic location data. Additional location information for the remaining geographic location data can be determined based on calculated scores.

Abstract: The present disclosure relates to performing similarity metric analysis and data enrichment using knowledge sources. A data enrichment service can compare an input data set to reference data sets stored in a knowledge source to identify similarly related data. A similarity metric can be calculated corresponding to the semantic similarity of two or more datasets. The similarity metric can be used to identify datasets based on their metadata attributes and data values enabling easier indexing and high performance retrieval of data values. A input data set can labeled with a category based on the data set having the best match with the input data set. The similarity of an input data set with a data set provided by a knowledge source can be used to query a knowledge source to obtain additional information about the data set. The additional information can be used to provide recommendations to the user.

Abstract: Techniques are disclosed for standardization of data. According to a first technique, standard representation terms are determined for to-be-standardized data using the to-be-standardized data itself and without using any external reference data. According to a second technique, a combination of the to-be-standardized data and an external reference is used to determine standard representation terms for the to-be-standardized data.

Abstract: The present disclosure relates to performing similarity metric analysis and data enrichment using knowledge sources. A data enrichment service can compare an input data set to reference data sets stored in a knowledge source to identify similarly related data. A similarity metric can be calculated corresponding to the semantic similarity of two or more datasets. The similarity metric can be used to identify datasets based on their metadata attributes and data values enabling easier indexing and high performance retrieval of data values. A input data set can labeled with a category based on the data set having the best match with the input data set. The similarity of an input data set with a data set provided by a knowledge source can be used to query a knowledge source to obtain additional information about the data set. The additional information can be used to provide recommendations to the user.

Abstract: Techniques are provided for performing sentiment analysis on words in a first data set. An example embodiment includes generating a word embedding model including a first plurality of features. A value indicating sentiment for the words in the first data set can be determined using a convolutional neural network (CNN). A second plurality of features are generated based on bigrams identified in the data set. The bigrams can be generated using a co-occurrence graph. The model is updated to include the second plurality of features, and sentiment analysis can be performed on a second data set using the updated model.

Abstract: The present disclosure related to techniques for analyzing data from multiple different data sources to determine a relationship between the data (also referred to herein a “data relationship discovery”). The relationships between any two compared datasets may be used to determine one or more recommendations for merging (e.g., joining), or “blending,” the data sets together. Relationship discovery may include determining a relationship between a subset of data, such as a relationship between a pair of columns, or column pair, each column in a different dataset of the datasets that are compared. Given two datasets to process for relationship discovery, relationship discovery may identify and recommends a ranked subset of column pairs between two compared datasets. The ranked column pairs identified as a relationship may be useful for blending the datasets with respect to those column pairs.

Abstract: An audio equipped fan is disclosed having a housing defining an inner cavity, a motor disposed at least partially in the inner cavity of the housing and having an output shaft extending therefrom that is rotatable by the motor, a fan connected to the output shaft of the motor and rotatable therewith, a grille connected to the housing and positioned in alignment with the fan, the grille having an interior side and an exterior side and defining first openings through which air may flow while the fan is rotated and second openings through which sound may travel, and having a speaker connected to at least one of the housing, motor, fan and grille and aligned on the interior side of the grille with the second openings of the grille so that sound may travel from the speaker through the grille. Related methods are also disclosed.

Abstract: A speaker assembly is disclosed as having a shower device, a housing having openings through which sound may travel, and two speakers contained in the housing that project sound through the openings. The housing defines a recess that may be connected to the shower device. The speakers may be wirelessly connected to an external audio source and may be controlled by a wireless remote.

Abstract: A speaker assembly is disclosed as having a shower device, a housing having openings through which sound may travel, and two speakers contained in the housing that project sound through the openings. The housing defines a recess that may be connected to the shower device. The speakers may be wirelessly connected to an external audio source and may be controlled by a wireless remote.

Abstract: A plumbing connector for the outlet portion of a toilet water input hose is disclosed. The plumbing connector may have a circular body (e.g., cylindrical body) having multiple flanges radially extending from the circular body. One or more of the flanges may each define at least one pyramidal recess or slot thereby reducing the cross-sectional area of a portion of each of the one or more flanges. As a result, the one or more flanges are configured to separate (e.g., break away) from the circular body at the reduced cross-sectional area portion of each of the one or more flanges to prevent a user from over-tightening (e.g., over-torqueing) the plumbing connector.

Abstract: An audio equipped fan is disclosed as having a housing, and a grille connected to the housing, and defining first openings through which air may flow while the fan is rotated, and second openings through which sound may travel. The fan also has an annular lighting array configured to selectively provide lighting in a high power or a low power configuration, and speakers connected to the grille and aligned on the interior side of the grille with the second openings of the grille so that sound may travel through the grille. Related methods are also disclosed.

Abstract: An audio equipped fan is disclosed having a housing defining an inner cavity, a motor disposed at least partially in the inner cavity of the housing and having an output shaft extending therefrom that is rotatable by the motor, a fan connected to the output shaft of the motor and rotatable therewith, a grille connected to the housing and positioned in alignment with the fan, the grille having an interior side and an exterior side and defining first openings through which air may flow while the fan is rotated and second openings through which sound may travel, a speaker connected to at least one of the housing, motor, fan and grille and aligned on the interior side of the grille with the second openings of the grille so that sound may travel through the grille, and a temporary power source connected to the speaker. Related methods are also disclosed.

Abstract: The present disclosure relates to performing similarity metric analysis and data enrichment using knowledge sources. A data enrichment service can compare an input data set to reference data sets stored in a knowledge source to identify similarly related data. A similarity metric can be calculated corresponding to the semantic similarity of two or more datasets. The similarity metric can be used to identify datasets based on their metadata attributes and data values enabling easier indexing and high performance retrieval of data values. A input data set can labeled with a category based on the data set having the best match with the input data set. The similarity of an input data set with a data set provided by a knowledge source can be used to query a knowledge source to obtain additional information about the data set. The additional information can be used to provide recommendations to the user.