The present invention includes steps of loading a website project; counting a word count of keywords of the website project for obtaining a word sum of the website project; respectively counting a first anchor word count for each of the anchor types to obtain a first anchor word sum for each of the anchor types; respectively dividing each of the first anchor word sums of each of the anchor types by the word sum to obtain multiple first internal anchor type percentages of the multiple anchor types; loading multiple first default anchor type percentages; for each of the anchor types, when the first internal anchor type percentage is greater than or equal to the first default anchor type percentage, marking the first internal anchor type percentage, and displaying results to prevent over-modifying the keywords corresponding to the marked anchor type, thus keeping the website project from being blacklisted.

The present invention includes steps of loading a website project; counting a word count of keywords of the website project for obtaining a word sum of the website project; respectively counting a first anchor word count for each of the anchor types to obtain a first anchor word sum for each of the anchor types; respectively dividing each of the first anchor word sums of each of the anchor types by the word sum to obtain multiple first internal anchor type percentages of the multiple anchor types; loading multiple first default anchor type percentages; for each of the anchor types, when the first internal anchor type percentage is greater than or equal to the first default anchor type percentage, marking the first internal anchor type percentage, and displaying results to prevent over-modifying the keywords corresponding to the marked anchor type, thus keeping the website project from being blacklisted.

A method and device for one-click filmmaking are provided. The method includes: obtaining a script from a user, detecting a single user operation, in response to the single user operation, obtaining a plurality of shots and estimating information of the plurality of shots based on the script, and automatically generating a film based on an auto-cinematography algorithm and the estimated information of the plurality of shots. The estimated information of one of the plurality of shots comprises at least one of a character of a shot, a scene of the shot, one or more positions of the character in the shot, a duration of the shot, or a shot type.

A method and device for one-click filmmaking are provided. The method includes: obtaining a script from a user, detecting a single user operation, in response to the single user operation, obtaining a plurality of shots and estimating information of the plurality of shots based on the script, and automatically generating a film based on an auto-cinematography algorithm and the estimated information of the plurality of shots. The estimated information of one of the plurality of shots comprises at least one of a character of a shot, a scene of the shot, one or more positions of the character in the shot, a duration of the shot, or a shot type.

A system and method implemented on a computing device for incrementally discovering new intents and goals by collecting data from a first corpus of a plurality of newer digitally-recorded conversations, performing dimensionality reduction to prepare the extracted conversations for clustering, clustering the prepared conversations, identifying new intent and/or goal labels using a trained Artificial Intelligence (AI) engine, applying a model-based filter to remove new labels which overlap already-known labels in the first corpus, and outputting the newly-discovered labels in association with the extracted conversations into a computer-readable file.

A system and method implemented on a computing device for incrementally discovering new intents and goals by collecting data from a first corpus of a plurality of newer digitally-recorded conversations, performing dimensionality reduction to prepare the extracted conversations for clustering, clustering the prepared conversations, identifying new intent and/or goal labels using a trained Artificial Intelligence (AI) engine, applying a model-based filter to remove new labels which overlap already-known labels in the first corpus, and outputting the newly-discovered labels in association with the extracted conversations into a computer-readable file.

A system, a method, and a computer program product for generation of keywords for a solution note for resolving an issue associated with a computing component. A dataset for training a keyword data model is received. The dataset includes a plurality of variables associated with one or more values. The keyword data model is configured for determination, as a function of one or more variables in the plurality of variables, of one or more keywords in a plurality of keywords associated with a computing solution in a plurality of computing solutions for resolving a problem with an operation of a computing component in a plurality of computing components. The keyword data model is trained using the received dataset and the keyword data model is applied to one or more variables in the received dataset to generate one or more keywords. One or more keywords associated with the computing solution is generated.

A system, a method, and a computer program product for generation of keywords for a solution note for resolving an issue associated with a computing component. A dataset for training a keyword data model is received. The dataset includes a plurality of variables associated with one or more values. The keyword data model is configured for determination, as a function of one or more variables in the plurality of variables, of one or more keywords in a plurality of keywords associated with a computing solution in a plurality of computing solutions for resolving a problem with an operation of a computing component in a plurality of computing components. The keyword data model is trained using the received dataset and the keyword data model is applied to one or more variables in the received dataset to generate one or more keywords. One or more keywords associated with the computing solution is generated.

A chatbot capable of empathic engagement with a user is disclosed. An identified trend in a user's mood or goals between a first time and a second time can be associated with open input (e.g., open text string input) from the user. As the user's mood or goals continue to be tracked, a subsequent trend can be identified that is the same as, similar to, different from, or opposite to the first identified trend. The user can then be automatically engaged based on the open input associated with the first identified trend. In an example, a user may input thoughts or reasons why they have been having a positively trending mood over a duration of time. The chatbot can then repeat or otherwise use those same thoughts or reasons to engage the user empathically when the chatbot detects that the user is experiencing a negatively trending mood.

A chatbot capable of empathic engagement with a user is disclosed. An identified trend in a user's mood or goals between a first time and a second time can be associated with open input (e.g., open text string input) from the user. As the user's mood or goals continue to be tracked, a subsequent trend can be identified that is the same as, similar to, different from, or opposite to the first identified trend. The user can then be automatically engaged based on the open input associated with the first identified trend. In an example, a user may input thoughts or reasons why they have been having a positively trending mood over a duration of time. The chatbot can then repeat or otherwise use those same thoughts or reasons to engage the user empathically when the chatbot detects that the user is experiencing a negatively trending mood.