Analyzing apparatus, analyzing method, and computer program product

1. An analyzing apparatus comprising:

a memory; and

a hardware processor coupled to the memory and configured to:

receive an input of a first word representing an analyzing-target category name;

calculate a first similarity between the first word and a second word stored in a storage device;

apply, to one or more template sentences, each of one or more second words having the first similarity higher than a first threshold;

analyze the one or more template sentences each including the second word and classify the second word into one or more first categories;

generate display information that displays, for each of the first categories, the second word used in the classification into the first categories, the display information being represented in a map format in which an association between the one or more first categories and the second word is represented by a position of the first categories and a position of the second word; and

display the display information via a user interface on a display device.

2. The apparatus according to claim 1 , wherein the hardware processor is further configured to search for content based on the first categories.

3. The apparatus according to claim 1 , wherein the hardware processor is further configured to:

determine a degree of association between each of the first categories and the second word based on a number of template sentences used when classifying the second word into the one or more first categories; and

display the second word together with the degree of association.

4. The apparatus according to claim 1 , wherein the hardware processor is further configured to display the display information for receiving a change, a deletion, or an addition on the one or more first categories associated with the second word.

5. The apparatus according to claim 4 , wherein the hardware processor is further configured to change the first similarity to follow the change, the deletion, or the addition on the one or more first categories associated with the second word.

6. The apparatus according to claim 4 , wherein the hardware processor is further configured to perform a change, a deletion, or an addition on the one or more first categories, into which the second word is classified, to follow the change, the deletion, or the addition on the one or more first categories associated with the second word.

7. The apparatus according to claim 4 , further comprising a content database that stores content and a second category representing a classification of the content in a manner that the content and the second category are associated with each other,

wherein the hardware processor is further configured to perform a change, a deletion, or an addition on the second category to follow the change, the deletion, or the addition on the one or more first categories associated with the second word.

8. The apparatus according to claim 4 , wherein

the hardware processor is further configured to:

receive a change on the first categories associated with the second word by an input representing a change in the position of the second word; and

change the first similarity to follow the change in the position of the second word.

9. The apparatus according to claim 1 , the hardware processor is further configured to:

receive speech data;

calculate a second similarity between a third word included in the speech data and the first word; and

calculate a first similarity between the first word and the second word, the first word having the second similarity higher than a second threshold.

10. An analyzing method implemented by a computer, the method comprising:

receiving an input of a first word representing an analyzing-target category name;

calculating a first similarity between the first word and a second word stored in a storage device;

applying, to one or more template sentences, each of one or more second words having the first similarity higher than a first threshold;

analyzing the one or more template sentences each including the second word and classifying the second word into one or more first categories;

generating display information that displays, for each of the first categories, the second word used in the classification into the first categories, the display information being represented in a map format in which an association between the one or more first categories and the second word is represented by a position of the first categories and a position of the second word; and

displaying the display information via a user interface on a display device.

11. A computer program product comprising a non-transitory computer-readable recording medium on which an executable program is recorded, the program instructing a computer to:

receive an input of a first word representing an analyzing-target category name;

calculate a first similarity between the first word and a second word stored in a storage device;

apply, to one or more template sentences, each of one or more second words having the first similarity higher than a first threshold;

analyze the one or more template sentences each including the second word and classify the second word into one or more first categories;

generate display information that displays, for each of the first categories, the second word used in the classification into the first categories, the display information being represented in a map format in which an association between the one or more first categories and the second word is represented by a position of the first categories and a position of the second word; and

display the display information via a user interface on a display device.