Sentiment scores for a first set of text can be normalized based on a statistical measure of sentiment of a corpus of text authored by a set of authors having respective personality profiles similar to a personality profile of an author of the first set of text. The set of authors can be grouped in a first cluster based on a range of at least one metric of a personality profile. A plurality of respective sentiment scores for portions of the corpus can be generated for the first cluster. A statistical measure of the plurality of respective sentiment scores can be generated. The plurality of respective sentiment scores can be normalized based on the statistical measure. The plurality of respective normalized sentiment scores can be applied to the first set of text to generate one or more sentiment scores for the first set of text.

Systems for automatically suggesting content items to an author of a digital page so that they can be added to the page. One embodiment comprises a system having a page editor that launches a component browser to enable viewing of content items stored in a repository. A web content management server extracts textual information from a digital page that is open for editing and analyzes the information to identify words indicative of the page's subject matter. The system generates a query using the identified words and a search engine searches the repository for items associated with the identified words. The content items identified by the search are displayed by the component browser and are selectable to add particular suggested content items to the page.

In one embodiment, a method includes receiving a user input based on a plurality of modalities at the client system, wherein at least one of the modalities of the user input is a visual modality, determining one or more subjects and one or more attributes associated with the one or more subjects, respectively, based on the visual modality of the user input, resolving one or more entities corresponding to the one or more subjects based on the determined one or more attributes, and presenting a communication content at the client system responsive to the user input, wherein the communication content comprises information associated with executing results of one or more tasks corresponding to the one or more resolved entities.

Briefly, embodiments disclosed herein may relate to formulating synthetic questions, such as in response to a search query, for example. Candidate synthetic questions may be presented to a user who may initiate a search at least in part by selecting one or more candidate synthetic questions, for example, in an embodiment.

An unstructured document analysis method according to an embodiment includes: operations of acquiring unstructured document data including font characteristic data and document structure data, extracting text included in the unstructured document data on the basis of the font characteristic data or the document structure data, classifying the extracted text into a pre-classified item using a trained neural network model, acquiring a content query related to the content included in the unstructured document data and associated with the pre-classified item, and generating an answer to the content query on the basis of the extracted text classified into the item.

Methods, systems, and computer program products are provided for presenting content in accordance with a placement designation. One example method includes identifying terms associated with a campaign, the campaign having an associated content item that is presented to users responsive to requests for content, receiving an indication of a placement designation including targeting criteria for presenting the content item in a search suggestion control along with search suggestions, storing information associated with the campaign, and processing content requests.

Disclosed are systems and methods for improving interactions with and between computers in a search system supported by or configured with search servers, applications or platforms. The systems interact to identify and retrieve data across platforms, which data can be used to improve the quality of results data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide a novel framework for automatically analyzing items, including real-world items and digital content items, in order to determine their attributes (e.g., characteristics, features, and the like), and based on the determined attributes, generating a user interface (UI) that displays the items and their respective attributes in an interactive, dynamically updatable and searchable multidimensional display.

Systems for automatically suggesting content items to an author of a digital page so that they can be added to the page. One embodiment comprises a system having a page editor that launches a component browser to enable viewing of content items stored in a repository. A web content management server extracts textual information from a digital page that is open for editing and analyzes the information to identify words indicative of the page's subject matter. The system generates a query using the identified words and a search engine searches the repository for items associated with the identified words. The content items identified by the search are displayed by the component browser and are selectable to add particular suggested content items to the page.

An input method, device and electronic apparatus are provided. The input method includes acquiring text information at an input cursor position, where the text information includes above text information located before the input cursor and/or below text information located after the input cursor; extracting keywords from the text information; searching through associative candidate lexicons of the keywords to obtain an enter-on-screen candidate word queue at the input cursor position; outputting the enter-on-screen candidate word queue. By acquiring the text information at the input cursor position and determining the enter-on-screen candidate word queue based on the keywords in the text information, embodiments of the present disclosure solve the issue in existing techniques that after the input cursor changes it position, no enter-on-screen candidate word may be provided by association because no reliable enter-on-screen entry is obtained.

A computing device is described that includes a presence-sensitive display component, at least one processor, and a memory. The memory stores instructions that when executed cause the at least one processor to output, for display, a graphical keyboard comprising a plurality of keys and a search element, and determine, based at least in part on a selection of one or more keys from the plurality of keys, a query suggestion. The instructions, when executed, further cause the at least one processor to receive an indication of input selecting the search element, and responsive to receiving the indication of input, output, for display, an updated graphical keyboard that includes a selectable link associated with the query suggestion.