14. A computer-implemented method for behavior evaluation of a user in a conversation session, comprising: receiving, by a processor of a computer as part of the conversation session, a message from a user device, wherein the conversation session is between the user and an electronic conversational agent; determining, based on the message and one or more factors associated with the conversation session, a behavior measure associated with the user; determining, based on analyzing the behavior measure in relation to one or more historical factors associated with a subset of other users of the electronic conversational agent, whether the user is exhibiting anomalous behavior; when it is determined that the user is exhibiting anomalous behavior, automatically adapting the electronic conversational agent based on the determined anomalous behavior; and continuing the conversation session based on the adapted electronic conversational agent.
14. A computer-implemented method for behavior evaluation of a user in a conversation session, comprising: receiving, by a processor of a computer as part of the conversation session, a message from a user device, wherein the conversation session is between the user and an electronic conversational agent; determining, based on the message and one or more factors associated with the conversation session, a behavior measure associated with the user; determining, based on analyzing the behavior measure in relation to one or more historical factors associated with a subset of other users of the electronic conversational agent, whether the user is exhibiting anomalous behavior; when it is determined that the user is exhibiting anomalous behavior, automatically adapting the electronic conversational agent based on the determined anomalous behavior; and continuing the conversation session based on the adapted electronic conversational agent. 18. The computer-implemented method of claim 14 , further comprising: receiving a second message from the user device; determining, based on the second message and one or more factors associated with the conversation session, a second behavior measure associated with the user; determining, based on the second behavior measure, whether the user continues to exhibit anomalous behavior; and when it is determined that the user does not exhibit anomalous behavior, adapting the electronic conversational agent to a normal state.