Method and apparatus for acquiring hot topics
AssigneeTencent Technology (Shenzhen) Company Limited
InventorGang CHENG
Life of this patent
Estimating the term…
Abstract
A method includes: a first word set is acquired from community data within a period; words are selected from the first word set according to a frequency that each word of the first word set appears in the community data during a first group of days, the selected words are determined as hot words and form a second word set, wherein the first group of days are a plurality of days backward from a designated day; and topics are selected from a community topic set according to the second word set, and are determined as hot topics.
Claims21
A method, comprising:
- at a computing device having one or more processors and memory for storing one or more programs to be executed by the one or more processors,
- acquiring a first word set from community data within a period;
- selecting words from the first word set according to a frequency that each word of the first word set appears in the community data during a first group of days, determining the selected words as hot words and forming the selected words into a second word set, wherein the first group of days are a plurality of days backward from a designated day;
- and
- selecting topics from a community topic set according to the second word set, and determining the selected topics as hot topics.
-24. (canceled)
A non-transitory computer-readable storage medium storing instructions thereon for execution by one or more processors, the instructions comprising:
- acquiring a first word set from community data within a period;
- selecting words from the first word set according to a frequency that each word of the first word set appears in the community data during a first group of days, determining the selected words as hot words and forming the selected words into a second word set, wherein the first group of days are a plurality of days backward from a designated day;
- and
- selecting topics from a community topic set according to the second word set, and determining the selected topics as hot topics.
Dependencies are inferred from the claim text.