Remote evaluation method for language affinity and system

The invention relates to the technical field of communication and discloses a remote evaluation method for language affinity and a system, in order to reduce cost and increase efficiency. The method disclosed by the invention comprises the following steps: setting at least two answer content options in each test question which is set by a server and relating at least two answer mood options to each answer content option; sending an evaluation request of an user to the server by a client so as to acquire a corresponding test question set from the server, supplying an option to the user by playing a voice corresponding to an answer mood option when a mouse of the user is moved to an area corresponding to any answer mood option, and then sending a test feature of the user to the server; adopting a Pearson correlation coefficient of the test feature and standard feature for performing correlation calculation by the server, thereby acquiring a corresponding evaluation result, wherein the test feature used for calc