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US 2017/0286531 A1Published application
Scalable mining of trending insights from text
AssigneeLinkedIn Corporation
InventorsYongzheng Zhang, Rui Zhao, Chi-Yi Kuan, Yi Zheng
Life of this patent
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Abstract
A system and method for identifying trending topics in a document corpus are provided. First, multiple topics are identified, some of which topics may be filtered or removed based on co-occurrence. Then, for each remaining topic, a frequency of the topic in the document corpus is determined, one or more frequencies of the topic in one or more other document corpora are determined, a trending score of the topic is generated based on the determined frequencies. Lastly, the remaining topics are ranked based on the generated trending scores.
Claims20
A method comprising:
- identifying a first plurality of topics in a plurality of documents;
- determining a co-occurrence of one or more pairs of topics in the first plurality of topics;
- based on the co-occurrence of the one or more pairs of topics, identifying a second plurality of topics that includes fewer topics than the first plurality of topics;
- for each topic in the plurality of topics:
- determining one or more frequencies of said each topic, wherein determining the one or more frequencies comprises, for each time period of one or more time periods, determining a frequency of said each topic during said each time period;
- determining a particular frequency of said each topic in a particular time period that is subsequent to the one or more time periods;
- generating a trending score for said each topic based on the one or more frequencies and the particular frequency;
- ranking the plurality of topics based on the trending score for each topic in the plurality of topics;
- wherein the method is performed by one or more computing devices.
6 more elements
A system comprising:
- one or more processors;
- one or more storage media storing instructions which, when executed by the one or more instructions, cause:
- identifying a first plurality of topics in a plurality of documents;
- determining a co-occurrence of one or more pairs of topics in the first plurality of topics;
- based on the co-occurrence of the one or more pairs of topics, identifying a second plurality of topics that includes fewer topics than the first plurality of topics;
- for each topic in the plurality of topics:
- determining one or more frequencies of said each topic, wherein determining the one or more frequencies comprises, for each time period of one or more time periods, determining a frequency of said each topic during said each time period;
- determining a particular frequency of said each topic in a particular time period that is subsequent to the one or more time periods;
- generating a trending score for said each topic based on the one or more frequencies and the particular frequency;
- ranking the plurality of topics based on the trending score for each topic in the plurality of topics.
7 more elements
Dependencies are inferred from the claim text.