Abstract: A method, computer system, and computer program product are provided for automatically generating polls. A message of a plurality of messages is received corresponding to a conversation between a plurality of users. One or more candidate polls are generated using a natural language processing model and determining a poll type for each of the one or more candidate polls based on the message and a context of the conversation. It is determined that at least one candidate poll of the one or more candidate polls is relevant according to the context of the conversation. In response to determining that the at least one candidate poll is relevant, the poll of the poll type is generated based on the message for presentation to the plurality of users.

Abstract: A method, computer system, and computer program product are provided for automatically extracting semantically-similar question topics. A set of documents, wherein each document includes a plurality of words. One or more clusters of documents are identified in the set of documents based on a presence of common words in the documents of the one or more clusters. The one or more clusters are adjusted based on semantic similarity by adding or removing one or more documents from the one or more clusters. A topic is extracted from each adjusted cluster of documents.