Generating word clouds

• US 10,242,094 B2
• Filed: 03/18/2016
• Issued: 03/26/2019
• Est. Priority Date: 03/18/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Breedvelt-Schouten, Ilse M., True, Joseph A.
• Primary Examiner(s): Truong, Dennis
• Application Number:
  US15/073,709
• Publication Number:
  US 20170270192A1
• Time in Patent Office: 1,103 Days
• Field of Search: 707722, 707749, 707730, 707734, 707736, 706 11
• CPC Class Codes: G06F 16/313 Selection or weighting of terms for indexing
• CPC Class Codes: G06F 16/334 Query execution G06F16/335 takes precedence
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 16/338 Presentation of query results

Abstract

A computer-implemented method includes identifying an information resource. The information resource includes text information. The information resource includes a contribution from an entry source. The entry source is associated with a profile. The profile includes at least one profile information item that describes the entry source. The method includes generating a first word cloud. The first word cloud is based on one or more words used within the text information. The first word cloud includes a first plurality of words. The method includes generating a second word cloud. The second word cloud is based on at least one profile information item. The second word cloud includes a second plurality of words.

Claims

1. A computer-implemented method comprising:

identifying an information resource, said information resource comprising text information, said information resource comprising a contribution from an entry source, said entry source being associated with a profile, said profile comprising at least one profile information item that describes said entry source;

generating a first word cloud, said first word cloud being based on one or more words used within said text information, said first word cloud comprising a first plurality of words;

generating a second word cloud, said second word cloud being based on said at least one profile information item, said second word cloud comprising a second plurality of words;

presenting said first word cloud and second word cloud via a common viewport;

identifying a first target word within said first word cloud, said target word being of said plurality of words;

identifying one or more entry source, said first target word being associated with a contribution from each of said identified entry sources;

updating said second word cloud based on said identified entry sources;

identifying a second target word within said second word cloud, said second target word being of said second plurality of words;

identifying one or more items of text information, said text information being of said one or more items of text information, each of said identified items of text information comprising a contribution from one or more entry sources, each of said one or more entry sources being associated with said second target word; and

updating said first word cloud based on said identified items of text information.

2. The computer-implemented method of claim 1, wherein said at least one profile information item comprises at least one property of said entry source selected from a group consisting of:

(a) age;

(b) gender;

(c) location; and

(d) amount of contribution.

3. The computer-implemented method of claim 1, further comprising:

identifying said one or more entry sources, said entry source being of said one or more entry sources, each of said one or more entry sources being associated with a profile, each of said profile comprising at least one profile information item that describes each of said entry source, said first target word being associated with a contribution from each of said plurality of entry sources.

4. The computer-implemented method of claim 1 said first plurality of words is based on a topic, said topic being for said words used within said text information.

5. A computer program product comprising:

one or more computer readable storage media and program instructions stored on said one or more computer readable storage media, said program instructions comprising instructions to;

identify an information resource, said information resource comprising text information, said information resource comprising a contribution from an entry source, said entry source being associated with a profile, said profile comprising at least one profile information item that describes said entry source;

generate a first word cloud, said first word cloud being based on one or more words used within said text information, said first word cloud comprising a first plurality of words;

generate a second word cloud, said second word cloud being based on said at least one profile information item, said second word cloud comprising a second plurality of words;

present said first word cloud and second word cloud via a common viewport

identify a first target word within said first word cloud, said first target word being of said plurality of words;

identify one or more entry source, said first target word being associated with a contribution from each of said identified entry sources;

update said second word cloud based on said identified entry sources;

identify a second target word within said second word cloud, said second target word being of said second plurality of words;

identify one or more items of text information, said text information being of said one or more items of text information, each of said identified items of text information comprising a contribution from one or more entry sources, each of said one or more entry sources being associated with said second target word; and

update said first word cloud based on said identified items of text information.

6. The computer program product of claim 5, wherein said at least one profile information item comprises at least one property of said entry source selected from a group consisting of:

(a) age;

(b) gender;

(c) location; and

(d) amount of contribution.

7. The computer program product of claim 5, further comprising instructions to:

identify said one or more entry sources, said entry source being of said one or more entry sources, each of said one or more entry sources being associated with a profile, each of said profile comprising at least one profile information item that describes each of said entry source, said first target word being associated with a contribution from each of said plurality of entry sources.

8. The computer program product of claim 5 wherein said first plurality of words is based on a topic, said topic being for said words used within said text information.

9. A computer system comprising:

one or more computer processors;

one or more computer readable storage media;

computer program instructions; and

said computer program instructions being stored on said computer readable storage media for execution by at least one of said one or more processors, said computer program instructions comprising instructions to;

identify an information resource, said information resource comprising text information, said information resource comprising a contribution from an entry source, said entry source being associated with a profile, said profile comprising at least one profile information item that describes said entry source;

generate a first word cloud, said first word cloud being based on one or more words used within said text information, said first word cloud comprising a first plurality of words;

generate a second word cloud, said second word cloud being based on said at least one profile information item, said second word cloud comprising a second plurality of words;

present said first word cloud and second word cloud via a common viewport

identify a first target word within said first word cloud, said first target word being of said plurality of words;

identify one or more entry source, said first target word being associated with a contribution from each of said identified entry sources;

update said second word cloud based on said identified entry sources;

identify a second target word within said second word cloud, said second target word being of said second plurality of words;

identify one or more items of text information, said text information being of said one or more items of text information, each of said identified items of text information comprising a contribution from one or more entry sources, each of said one or more entry sources being associated with said second target word; and

update said first word cloud based on said identified items of text information.

10. The computer system of claim 9, wherein said at least one profile information item comprises at least one property of said entry source selected from a group consisting of:

(a) age;

(b) gender;

(c) location; and

(d) amount of contribution.

11. The computer system of claim 9, further comprising instructions to:

identify said one or more entry sources, said entry source being of said one or more entry sources, each of said one or more entry sources being associated with a profile, each of said profile comprising at least one profile information item that describes each of said entry source, said first target word being associated with a contribution from each of said plurality of entry sources.

12. The computer system of claim 9, wherein said first plurality of words is based on a topic, said topic being for said words used within said text information.