Method and system for remote evaluation of language affinity
An evaluation system and affinity technology, applied in the communication field, can solve the problems of high cost and low efficiency, and achieve the effect of high accuracy, fast processing and judgment speed
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Embodiment 1
[0025] The embodiment of the present invention discloses a method for remote evaluation of language affinity, such as figure 1 shown, including:
[0026] Step S1, setting at least two answer content options in each test question set by the server, and associating each answer content option with at least two answer tone options.
[0027] Step S2, establishing a remote communication connection between the client and the server through the B / S structure mode.
[0028] Step S3, the client sends a user evaluation request to the server to obtain the corresponding test question set from the server, and when the user moves the mouse to the area corresponding to any answer tone option, the voice corresponding to the answer tone option is played for the user to choose, The user's test characteristics are then sent to the server.
[0029] Step S4, the server uses the Pearson correlation coefficient of the test feature and the standard feature to perform correlation calculation to obtai...
Embodiment 2
[0039] Corresponding to the above method embodiments, this embodiment discloses a language affinity remote evaluation system, including a client and server based on the B / S structural model:
[0040] The client is used to send a user evaluation request to the server to obtain the corresponding test set from the server, and when the user moves the mouse to the area corresponding to any answer tone option, play the voice corresponding to the answer tone option for the user to choose, Then send the user's test characteristics to the server;
[0041] The server is used to set at least two answer content options in the set test questions, associate each answer content option with at least two answer tone options, and use the Pearson correlation coefficient of test features and standard features to perform correlation calculations. Draw the corresponding evaluation conclusions:
[0042]
[0043] Among them, ρ x,y To calculate the resulting Pearson correlation coefficient, x and...
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