A method includes providing a server including a memory and a processor coupled to the memory; defining a plurality of databases in the memory, the databases including fields for respective client matters, and the databases including a plurality of notes for respective matters, the notes including text, and the databases including a plurality of buzzwords; associating respective buzzwords with descriptive pages; generating a user interface including a text editing screen area in which a user can type text for a note, the text including a plurality of terms; comparing terms to the buzzwords and, in response to a term matching a buzzword, indicating that the matching term is a buzzword in the user interface. Other systems and methods are also provided.

Emails or other communications are labeled with a category label such as “spam” or “good” without using confidential or Personally Identifiable Information (PII). The category label is based on features of the emails such as metadata that do not contain PII. Graphs of inferred relationships between email features and category labels are used to assign labels to emails and to features of the emails. The labeled emails are used as a training dataset for training a machine learning model (“MLM”). The MLM model identifies unwanted emails such as spam, bulk email, phishing email, and emails that contain malware.

A company may authorize a 3.sup.rd party to send emails on behalf of the company's domain. The emails are sent by the 3.sup.rd party, but the “From” portion of the email header is populated with the company's email address/domain. Methods are disclosed that, in some embodiments, enable email authentication (e.g. SPF record checks and/or DKIM verification) for emails sent by the 3.sup.rd party on behalf of a company's domain. In some embodiments, a trusted entity is enlisted to communicate with the 3.sup.rd party and the company. The trusted entity has the proper permissions to request changes in the DNS records of the company. The trusted entity receives the request from the 3.sup.rd party to add email authentication information to the DNS record. The trusted entity confirms that the 3.sup.rd party is authorized by the company and then adds the information to the DNS record.

This application relates to a systems and methods for trending issue identification in text streams. In one embodiment, a method for improving resolution of a trending issue identified in a set of text streams includes presenting a user interface of an application that is being executed by a computing device. The method also includes receiving a notification including the trending issue that has been identified in the set of text streams based at least in part on textual analysis performed on the set of text streams, and presenting the trending issue on the user interface of the application to enable an action to be performed to resolve the trending issue.

A computer-implemented method for determining an answer to a question in a multi-party conversation includes receiving a multi-party conversation having multiple nodes of unstructured natural language. Each node is parsed into a plurality of elements. Each element of the plurality of elements that comprises a question is identified. A conversation node list is constructed that identifies relationships between the nodes. At least one answer to the question is produced based on the conversation node list.

Disclosed in some examples, are methods, systems, and machine-readable mediums which build and utilize an artificial intelligence model to predict debtor payment timing. The past debtor payment history and other debtor information may be for a plurality of accounts over a past time period. Once the model is created, it may be used when a debtor misses a payment to determine a prediction of when the debtor will pay. The model uses characteristics of past debtors and their payment dates to predict, based upon the characteristics of the late debtor, when the late debtor will make a payment. The predicted timing may include a predicted probability for whether the payment will be made within the predicted timing. The predicted timing may be a specific date, or a window (e.g., a three-day window).

A mail processing method and apparatus, an electronic device and a storage medium are provided. The method comprises: acquiring, in response to detection of a preset operation triggered based on a target mail, at least one collaborative user; and sharing a target link corresponding to the target mail with each collaborative user, in order that each collaborative user reads the target mail based on the target link and/or edits the target mail based on the target link. The target mail comprises at least one of: content of the target mail and content of a draft reply to the target mail.

Computer-based platforms and interfaces for trading a commodity such as primary production commodities, including meat, leather, grains, fruit, vegetables, flowers, seeds, living plants and timber. In particular, a user interface provides for input and output of data or information via an electronic screen. The interface has a text-based chat function for communication between a buyer and a seller, an order function allowing the buyer to order a first product from the seller, and a hyperlinking function to transform a keyword related to the product input by the buyer in the course of using the text-based chat function into a hyperlink actuatable by the buyer. When the buyer actuates the hyperlink, the order function presents an input option for the buyer to add the first product to an order by way of the order function.

In non-limiting examples of the present disclosure, systems, methods and devices for surfacing email suggestions are presented. A first user account associated with a composer of an email may be identified. Core working hour and a time zone associated with that first user account may be determined. One or more recipient user accounts included in the email may be identified. Core working hours and a time zone associated with the recipient user accounts may be identified. If more than a threshold number, percentage, and/or ratio of the recipient users is not currently in core working hours when the email is being drafted/sent, a suggestion may be surfaced in association with the email to send the email at a later time when more recipient users are in their core working hours.

An information display method and apparatus, an electronic device, and a storage medium are provided. The method includes: on the basis of an email sharing operation triggered by a sharer, sharing, according to sharee information, a target email to a sharee corresponding to the sharee information; obtaining a first identifier corresponding to the sharee; and displaying, on an email display interface of the target email on an email client of the sharer, the first identifier corresponding to the sharee. The technical solution can simplify user viewing operations, thus increasing information viewing efficiency and improving user experience.