INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

• US 20160259774A1
• Filed: 08/19/2015
• Published: 09/08/2016
• Est. Priority Date: 03/02/2015
• Status: Abandoned Application

• Current Assignee: Fuji Xerox Company Limited (Xerox Holdings Corp.)
• Original Assignee: Fuji Xerox Company Limited (Xerox Holdings Corp.)
• Inventors: MIURA, Yasuhide, SAKAKI, Shigeyuki, OKUMA, Tomoko
• Application Number:
  US14/829,804
• Publication Number:
  US 20160259774A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 40/205 Parsing
• CPC Class Codes: G06F 40/258 Heading extraction; Automatic titling; Numbering

Abstract

An information processing apparatus includes a first extracting unit, a second extracting unit, and a third extracting unit. The first extracting unit applies a topic model to target text information and extracts topic distributions for words constituting the text information. The second extracting unit extracts a first topic for the text information from the topic distributions extracted by the first extracting unit. The third extracting unit extracts a word satisfying a predetermined condition, from at least one word having the first topic, as a context word in the text information. The first topic is extracted by the second extracting unit.

Claims

1. An information processing apparatus comprising:

a first extracting unit that applies a topic model to target text information and that extracts topic distributions for words constituting the text information;

a second extracting unit that extracts a first topic for the text information from the topic distributions extracted by the first extracting unit; and

a third extracting unit that extracts a word satisfying a predetermined condition, from at least one word having the first topic, as a context word in the text information, the first topic being extracted by the second extracting unit.

2. The information processing apparatus according to claim 1, further comprising:

a fifth extracting unit that applies a topic modeling technique to the target text information and that extracts topic distributions in the text information;

a sixth extracting unit that extracts a second topic for the text information from the topic distributions extracted by the fifth extracting unit; and

a seventh extracting unit that extracts a word satisfying a predetermined condition, from at least one word having the second topic, as a context word in the text information, the second topic being extracted by the sixth extracting unit.

3. The information processing apparatus according to claim 1, further comprising:

a fourth extracting unit that extracts, from pieces of text information, words constituting the text information; and

a generating unit that applies a topic modeling technique to the words extracted by the fourth extracting unit and that generates the topic model.

4. The information processing apparatus according to claim 2, further comprising:

a fourth extracting unit that extracts, from pieces of text information, words constituting the text information; and

a generating unit that applies a topic modeling technique to the words extracted by the fourth extracting unit and that generates the topic model.

5. The information processing apparatus according to claim 3,

wherein the generating unit uses, as the pieces of text information, pieces of text information serving as supervised data, and applies a supervised topic modeling technique as the topic modeling technique.

6. The information processing apparatus according to claim 4,

wherein the generating unit uses, as the pieces of text information, pieces of text information serving as supervised data, and applies a supervised topic modeling technique as the topic modeling technique.

7. A non-transitory computer readable medium storing a program causing a computer to execute a process comprising:

applying a topic model to target text information and extracting topic distributions for words constituting the text information;

extracting a first topic for the text information from the extracted topic distributions; and

extracting a word satisfying a predetermined condition, from at least one word having the first topic, as a context word in the text information.

8. An information processing method comprising:

applying a topic model to target text information and extracting topic distributions for words constituting the text information;

extracting a first topic for the text information from the extracted topic distributions; and

extracting a word satisfying a predetermined condition, from at least one word having the first topic, as a context word in the text information.