SYSTEMS AND METHODS FOR AUTOMATIC POST CREATION IN SOCIAL MEDIA PLATFORMS IN A TIERED SOFTWARE FRAMEWORK
Embodiments of a method automatic post creation in a community provisioned in a tier of a tiered software framework are disclosed. The method is executed by a software bot, and comprises monitoring interactions between community members in the community; analyzing the interactions using an artificial intelligence (AI) model to identify a sentiment trend in the interactions, the analyzing being performed in another tier of the tiered software framework; responsive to identifying the sentiment trend, automatically composing a post comprising at least text generated from a semantic analysis of the interactions, the post being in a tone corresponding to the sentiment trend; and automatically publishing the post in the community.
1 . A method for automatically creating posts in a community provisioned in a tiered software framework, the method executed by a software bot, the method comprising:
monitoring interactions between community members in a community provisioned in a tiered software framework comprising at least a first tier and a second tier, wherein:
the first tier has access to all data in the second tier,
the second tier has no access to any data in the first tier,
the software bot has access to the first tier and the second tier,
the community is provisioned in the second tier;
interfacing with an artificial intelligence (AI) model in the first tier, the AI model being separate from the software bot;
analyzing the interactions using the AI model to identify a sentiment trend in the interactions, wherein:
the AI model has access to all data in the tiered software framework,
the interactions are analyzed by the AI model in the first tier in view of the data accessible to the AI model, and
the sentiment trend is a positive trend, a negative trend, or a neutral trend;
responsive to identifying the sentiment trend, automatically composing a post comprising at least text generated from a semantic analysis of the interactions, wherein:
a tone of the text corresponds to the sentiment trend, and
the semantic analysis includes determining meaning and context of the interactions using the AI model in view of the data accessible to the AI model; and
automatically publishing the post in the community.
2 . The method of claim 1 , wherein the monitoring, the analyzing, the composing, and the publishing are performed in real time.
3 . The method of claim 2 , wherein the interactions are relevant to an event occurring in real time, and the post comprises content relevant to the event.
4 . The method of claim 1 , further comprising:
identifying an interaction that violates one of the preconfigured rules; and
deleting the interaction.
5 . The method of claim 4 , further comprising:
identifying a community member who originated the interaction; and
removing the identified community member from the community.
6 . The method of claim 1 , wherein the post further comprises text and images scraped from the interactions according to permissions from the corresponding community members.
7 . The method of claim 1 , wherein the software bot has a preconfigured personality, and the tone of the post is according to the personality.
8 . Non-transitory computer-readable tangible media that includes instructions for execution, which when executed by a processor of a computing device, is operable to perform operations comprising:
monitoring interactions between community members in a community provisioned in a tiered software framework comprising at least a first tier and a second tier, wherein:
the first tier has access to all data in the second tier,
the second tier has no access to any data in the first tier,
the software bot has access to the first tier and the second tier,
the community is provisioned in the second tier;
interfacing with an artificial intelligence (AI) model in the first tier, the AI model being separate from the software bot;
analyzing the interactions using the AI model to identify a sentiment trend in the interactions, wherein:
the AI model has access to all data in the tiered software framework,
the interactions are analyzed by the AI model in the first tier in view of the data accessible to the AI model, and
the sentiment trend is a positive trend, a negative trend, or a neutral trend;
responsive to identifying the sentiment trend, automatically composing a post comprising at least text generated from a semantic analysis of the interactions, wherein:
a tone of the text corresponds to the sentiment trend, and
the semantic analysis includes determining meaning and context of the interactions using the AI model in view of the data accessible to the AI model; and
automatically publishing the post in the community.
9 . The non-transitory computer-readable tangible media of claim 8 , wherein the monitoring, the analyzing, the composing, and the publishing are performed in real time.
10 . The non-transitory computer-readable tangible media of claim 9 , wherein the interactions are relevant to an event occurring in real time, and the post comprises content relevant to the event.
11 . The non-transitory computer-readable tangible media of claim 8 , wherein the operations further comprise:
identifying an interaction that violates one of the preconfigured rules; and
deleting the interaction.
12 . The non-transitory computer-readable tangible media of claim 11 , wherein the operations further comprise:
identifying a community member who originated the interaction; and
removing the identified community member from the community.
13 . The non-transitory computer-readable tangible media of claim 8 , wherein the post further comprises text and images scraped from the interactions according to permissions from the corresponding community members.
14 . The non-transitory computer-readable tangible media of claim 8 , wherein the tone of the post is according to a preconfigured personality.
15 . An apparatus comprising:
a processing circuitry;
a memory storing data; and
a communication circuitry, wherein the processing circuitry executes instructions associated with the data, the processing circuitry is coupled to the communication circuitry and the memory, and the processing circuitry and the memory cooperate, such that the apparatus is configured for:
monitoring interactions between community members in a community provisioned in a tiered software framework comprising at least a first tier and a second tier, wherein:
the first tier has access to all data in the second tier,
the second tier has no access to any data in the first tier,
the software bot has access to the first tier and the second tier,
the community is provisioned in the second tier;
interfacing with an artificial intelligence (AI) model in the first tier, the AI model being separate from the software bot;
analyzing the interactions using the AI model to identify a sentiment trend in the interactions, wherein:
the AI model has access to all data in the tiered software framework,
the interactions are analyzed by the AI model in the first tier in view of the data accessible to the AI model, and
the sentiment trend is a positive trend, a negative trend, or a neutral trend;
responsive to identifying the sentiment trend, automatically composing a post comprising at least text generated from a semantic analysis of the interactions, wherein:
a tone of the text corresponds to the sentiment trend, and
the semantic analysis includes determining meaning and context of the interactions using the AI model in view of the data accessible to the AI model; and
automatically publishing the post in the community.
16 . The apparatus of claim 15 , wherein the monitoring, the analyzing, the composing, and the publishing are performed in real time.
17 . The apparatus of claim 16 , wherein the interactions are relevant to an event occurring in real time, and the post comprises content relevant to the event.
18 . The apparatus of claim 15 , further configured for:
identifying an interaction that violates one of the preconfigured rules; and
deleting the interaction.
19 . The apparatus of claim 15 , wherein the post further comprises text and images scraped from the interactions according to permissions from the corresponding community members.
20 . The apparatus of claim 15 , wherein the tone of the post is according to a preconfigured personality.