Virtual agent for improving item identification using natural language processing and machine learning techniques

A method, comprising:

• receiving, by a first device and from a second device associated with a virtual agent application, an input corresponding to a search for an item,
• the second device being associated with a user;
• identifying, by the first device, a set of items based on receiving the input corresponding to the search for the item;
• determining, by the first device, a set of trend scores associated with the set of items based on identifying the set of items,
• the set of trend scores being indicative of respective popularities of items, of the set of items, across a time frame;
• determining, by the first device, a set of sentiment scores associated with the set of items based on identifying the set of items,
• the set of sentiment scores being indicative of respective sentiments of the user towards the items of the set of items;
• identifying, by the first device, a subset of items, of the set of items, based on the set of trend scores and the set of sentiment scores;
• providing, by the first device and to the second device, information associated with the subset of items to permit the second device to provide, for display, the information associated with the subset of items;
• receiving, by the first device and from the second device, information associated with a selected item, of the subset of items, based on providing the information associated with the subset of items;
• determining, by the first device, a return score associated with the selected item based on receiving the information associated with the selected item,
• the return score being indicative of a probability of the selected item being returned to an entity after being acquired from the entity;
• and
• performing, by the first device, an action based on the return score.

A non-transitory computer-readable medium storing instructions, the instructions comprising:

• one or more instructions that, when executed by one or more processors, cause the one or more processors to:
• receive, from a device associated with a virtual agent application, an input corresponding to a search for an item,
• the device being associated with a user;
• identify a set of items based on receiving the input corresponding to the search for the item;
• determine a set of trend scores associated with the set of items based on identifying the set of items,
• the set of trend scores being indicative of respective popularities of items, of the set of items, across a time frame, and
• the set of trend scores being determined based on a first set of data associated with a first data source;
• determine a set of sentiment scores associated with the set of items based on identifying the set of items,
• the set of sentiment scores being indicative of respective sentiments of the user towards the items of the set of items, and
• the set of sentiment scores being determined based on a second set of data associated with a second data source that is different than the first data source;
• identify a subset of items, of the set of items, based on the set of trend scores and the set of sentiment scores;
• provide, to the device, information associated with the subset of items to permit the device to provide, for display, the information associated with the subset of items;
• receive, from the device, information associated with a selected item, of the subset of items, based on providing the information associated with the subset of items;
• determine a return score associated with the selected item based on receiving the information associated with the selected item,
• the return score being indicative of a probability of the selected item being returned to an entity after being acquired from the entity, and
• the return score being determined based on a third set of data associated with a third data source that is different than the first data source and the second data source;
• and
• perform an action based on the return score.