Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains validated training data containing a first set of content items and a first set of classification tags for the first set of content items. Next, the system uses the validated training data to produce a statistical model for classifying content using a set of dimensions represented by the first set of classification tags. The system then uses the statistical model to generate a second set of classification tags for a second set of content items. Finally, the system outputs one or more groupings of the second set of content items by the second set of classification tags to improve understanding of content related to the set of dimensions without requiring a user to manually analyze the second set of content items.

Abstract: Method and system for identifying user expectations in question answering in an on-line social network system are described. The automated support system is configured to address the technical problem of optimization of the processing of user input submitted to a computer in the form of a natural language. The automated support system uses machine learning algorithms to automatically extract, from the user input, information indicative of the user's expectations and obtain data relevant to the input based on said information indicative of the user's expectations.

Abstract: Techniques for topic extraction and opinion mining are described. For example, a machine accesses a document from a document record of a database. The machine builds a syntax tree of a sentence of the document based on parsing the sentence. The machine assigns a polarity impact to one or more words of the sentence. The machine determines that a plurality of words in the sentence have conflicting polarity based on the syntax tree and the polarity impact of the plurality of words. The machine determines a classification of the sentence based on the determining that the plurality of words in the sentence have conflicting polarity. The machine generates a classification record of the classification in the database.

Abstract: A machine may be configured to generate an enhanced user interface for displaying social analytics based on viral mentions and threading. For example, the machine accesses a plurality of items of digital content. The machine extracts, for each of the plurality of items of digital content, a title that describes a particular item of digital content. The machine generates a group of items of digital content based on the extracted titles associated with the plurality of items of digital content. The machine identifies, from the group of items of digital content, an original item of digital content and one or more subsequent items of digital content. The machine determines a strength value associated with the original item of digital content. The machine generates and causes a display of an enhanced user interface that displays the title and the strength value associated with the original item of digital content.

Abstract: Techniques for delaying the transmission of a message to one or more recipients using an alert in order to provide data protection and security with respect to data included in the message are disclosed herein. In some embodiments, a computer-implemented method comprises: receiving a request to transmit a message from a computing device of a user to a recipient, the request comprising content of the message; detecting an issue with the request using at least one classifier to classify the request as having the issue; generating an alert based on the detecting of the issue; and prior to transmitting the message to a destination associated with the recipient, causing the generated alert to be displayed on the computing device of the user, the alert indicating the issue with the message.

Abstract: Method and system for identifying user expectations in question answering in an on-line social network system are described. The automated support system is configured to address the technical problem of optimization of the processing of user input submitted to a computer in the form of a natural language. The automated support system uses machine learning algorithms to automatically extract, from the user input, information indicative of the user's expectations and obtain data relevant to the input based on said information indicative of the user's expectations.

Abstract: A topical representative assessment system implements techniques for determining entities that are ambassadors for one or more topics. The ambassadors are determined based on content items that they have authored or content items that are otherwise attributed to them. An ambassador may be any type of entity such as a person, a company, or an organization. Machine analytics may be used to determine whether a content item corresponds to a specific topic, determine a sentiment for a content item, analyze feedback for a content item, or any combination of these.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of topics associated with a set of content items. Next, the system obtains a first set of attributes associated with a first topic in the set of topics and a second set of attributes associated with a second topic in the set of topics. Next, the system calculates a similarity between the first and second sets of attributes and applies a threshold to the similarity to identify the first and second topics as synonymous when the similarity exceeds a threshold. The system then merges the first and second topics under a representative topic. Finally, the system displays the representative topic to a user to improve understanding of the set of content items by the user without requiring the user to manually analyze the set of content items.

Abstract: Disclosed herein are compounds of formula I: and salts thereof. Also disclosed are compositions comprising compounds of formula I and methods using compounds of formula I.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a first configuration for processing a first set of content items from a first data source and a second configuration for processing a second set of content items from a second data source. For each content item in the first set of content items, the system uses mappings from the first configuration to transform original fields from the content item into required fields in a record representing the content item. Next, the system generates, from the required fields, a document key for the content item. The system also performs deduplication of multiple records with the document key and stores a single record with the document key. Finally, the system uses the second configuration to generate, from the second set of content items, a set of records independently of processing the first set of content items.

Abstract: The invention provides synthetic methods and synthetic intermediates that are useful for preparing the antibacterial compound:

Abstract: In some embodiments, the disclosed subject matter involves comparing the results of natural language processing (NLP) of unstructured text to historical results for verification and validation of the NLP models/algorithms. The analysis uses statistical theory and practices to automatically monitor and validate the performances of the (NLP) algorithms on a periodic basis. Each unstructured text is run through one or more NLP algorithms and scored for relevance or contextual classification. Distribution of the scores is assumed to be Gaussian in nature so that a probability value (p-value) may be generated. When the p-value is below a threshold value, manual tagging may be initiated for the current time period to help retrain the models for better performance. Other embodiments are described and claimed.

Abstract: Among other things, embodiments of the present disclosure discussed herein help identify trending topics and generate customized data feeds that present trending topics to a user based on information in the user's social network profile. In some embodiments, users may select topics of interest to the user and the system can identity and present trending articles in the selected topic to the user via the user's newsfeed.

Abstract: The invention provides compounds of formula (I): wherein R1-R3, n, and W have any of the values defined in the specification, and salts thereof. The compounds have good solubility and are useful for treating bacterial infections.

Abstract: A system is configured to determine the impact on ranking of one or more job postings in view of the relevancy of the terms used by the one or more job postings. Using predetermined keywords, the system obtains search results from a variety of sources, and then vectorizes the contents of those search results. Vectorizing may include removing syntactic language and converting the search results to a plain text format. The system further determines relevant terms from the vectorized search results for each of the predetermined keywords, and then computes relevancy values for each of the predetermined keywords using the relevant terms. Through regression modeling, the system determines regression coefficients given the relevancy values and the sources of the search results. The regression coefficients indicate the impact that relevancy of the terms used in the job postings has on the ranking of the job postings.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of clauses in a first set of content items comprising unstructured data. Next, the system obtains a set of stop words comprising high-frequency words that occur in a second set of content items. The system then automatically extracts a set of topics from the set of clauses by generating a set of n-grams from the set of clauses and excluding a first n-gram in the set of n-grams from the set of topics when the first n-gram contains a word in the set of stop words in a pre-specified position of the first n-gram. Finally, the system displays the set of topics to a user to improve understanding of the first set of content items by the user without requiring the user to manually analyze the first set of content items.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains training data containing a first set of customer support tickets and a first set of categories assigned to the first set of customer support tickets by customer support agents. Next, the system uses the training data to produce a statistical model for classifying the customer support tickets into the categories. The system then uses the statistical model to classify a second set of customer support tickets into a second set of categories. Finally, the system generates output for routing the second set of customer support tickets to the customer support agents according to the second set of categories.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of content items and a set of topics in the set of content items. For each topic in the set of topics, the system automatically extracts a set of attributes that provides a context for the topic from a subset of the content items containing the topic. The system then displays the set of attributes in the context of the topic to improve understanding of the set of content items by the user without requiring the user to manually analyze the set of content items.

Abstract: The invention provides compounds of formula (I): wherein R1-R3, n, and W have any of the values defined in the specification, and salts thereof. The compounds have good solubility and are useful for treating bacterial infections.

Abstract: A topical representative assessment system implements techniques for determining entities that are ambassadors for one or more topics. The ambassadors are determined based on content items that they have authored or content items that are otherwise attributed to them. An ambassador may be any type of entity such as a person, a company, or an organization. Machine analytics may be used to determine whether a content item corresponds to a specific topic, determine a sentiment for a content item, analyze feedback for a content item, or any combination of these.