A method and system for analyzing customer experience from unstructured social media data comprising, fetching data from the social media platforms and segregate these social media conversations into campaign data, a “True social” data, and news data using the industry topic related keywords. Furthermore, it also identifies from the true social data, different stages of customer experience such as a pre-experience data, a during-experience data and a post-experience data. It enables identification of at risk customers, loyal customers, and one or more target customer of a brand. Customer issue areas may also be identified that a brand needs to focus on along with identification of key social media influencers who are influencing conversations for or against brand and enables the brand to take appropriate action based on the analysis of various posts.

A computer-implemented method is disclosed for saving content. The method can include receiving, by one or more computing devices from a user at a first time, a first user input directed to a portion of a web page; receiving, by the one or more computing devices at a second time after the first time, a second user input describing a search query, and providing for display, by the one or more computing devices, data describing the portion of the web page in response to receiving the second user input.

A computer-implemented method is disclosed for saving content. The method can include receiving, by one or more computing devices from a user at a first time, a first user input directed to a portion of a web page; receiving, by the one or more computing devices at a second time after the first time, a second user input describing a search query, and providing for display, by the one or more computing devices, data describing the portion of the web page in response to receiving the second user input.

Methods, systems, and media for providing search suggestions are provided. In accordance with some embodiments, the method comprises: receiving user input that includes a partial search query; identifying a group of candidate search suggestions; determining whether each candidate search suggestion is included on a list of search suggestions that are prohibited, wherein the list is generated by: receiving previously submitted search queries and search results; determining, for each of the search queries, a number of search results associated with a particular content rating; determining whether the number meets a threshold value; and in response to determining that the number does not meet the threshold value, inserting the search query to the list; generating a modified group of search suggestions by removing search suggestions that are on the list; and causing a subset of the modified group of search suggestions to be presented as the remaining portion of the search query.

A system to detect affiliated partners of an entity based on a query keyword is disclosed. The system also includes a query input module, configured to receive one or more queries from one or more entities. The system includes a query synonym generation module, configured to generate a set of synonym keywords for each of one or more received queries by a keyword suggestion means. The system includes a database generation module, configured to retrieve corpus data corresponding to affiliated partners by employing a web crawler associated. technique and also configured to generate a database of the affiliated partners corresponding to the one or more entities from the corpus data based on the set of generated synonym keywords. The system includes a database screening, configured to detect related database from the generated database and also screen the detected database of the affiliated partners by cross-checking the database.

A system to detect affiliated partners of an entity based on a query keyword is disclosed. The system also includes a query input module, configured to receive one or more queries from one or more entities. The system includes a query synonym generation module, configured to generate a set of synonym keywords for each of one or more received queries by a keyword suggestion means. The system includes a database generation module, configured to retrieve corpus data corresponding to affiliated partners by employing a web crawler associated. technique and also configured to generate a database of the affiliated partners corresponding to the one or more entities from the corpus data based on the set of generated synonym keywords. The system includes a database screening, configured to detect related database from the generated database and also screen the detected database of the affiliated partners by cross-checking the database.

A method for supporting search of contents is provided. The method includes the steps of: receiving a plurality of semantically connected query elements corresponding to different narrative elements from a user with respect to a target content; generating a search query on the basis of the plurality of query elements; and specifying, with reference to the search query and narrative data sets for the contents, the target content that matches with the search query among the contents.

A method for supporting search of contents is provided. The method includes the steps of: receiving a plurality of semantically connected query elements corresponding to different narrative elements from a user with respect to a target content; generating a search query on the basis of the plurality of query elements; and specifying, with reference to the search query and narrative data sets for the contents, the target content that matches with the search query among the contents.

Disclosed are systems and methods for art electronic framework that enables un-biasing of personalizations for users. The disclosed framework provides controls that can enable users to selectively escape from previously conceived notions of a user's preferred tastes and/or interests. Upon a user requesting content, the disclosed framework can analyze the type of request as well as the modeled behavior and preferences of the user, and automatically un-bias or depersonalize content for the user, thereby availing the user to a broader range of content from a larger pool of content then previously made available to the user.

Disclosed are systems and methods for art electronic framework that enables un-biasing of personalizations for users. The disclosed framework provides controls that can enable users to selectively escape from previously conceived notions of a user's preferred tastes and/or interests. Upon a user requesting content, the disclosed framework can analyze the type of request as well as the modeled behavior and preferences of the user, and automatically un-bias or depersonalize content for the user, thereby availing the user to a broader range of content from a larger pool of content then previously made available to the user.