Leveraging word patterns in the language of popular influencers to predict popular trends
First Claim
1. A method of identifying a potential product trend in a consumer field comprising:
- receiving a lexicon of product names and name modifiers for the consumer field, by executing first instructions in a computer system;
receiving a historical baseline of word combinations wherein a given word combination includes one of the product names associated with one or more of the modifiers, by executing second instructions in the computer system;
receiving a list of influencers in the consumer field, by executing third instructions in the computer system;
monitoring electronic media over time for current electronic publications of the influencers, by executing fourth instructions in the computer system;
performing natural language processing on the current electronic publications to identify a particular one of the word combinations, by executing fifth instructions in the computer system;
determining that a current usage frequency of the particular word combination is greater than a historical usage frequency of the particular word combination derived from the historical baseline, by executing sixth instructions in the computer system; and
responsively generating an alert indicating that the particular word combination represents a candidate trend, by executing seventh instructions in the computer system.
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Accused Products
Abstract
Popular trends are predicted by leveraging the language of influencers as found in their electronic publications such as social media, blogs, etc. A list of influencers in a given field is curated along with a lexicon of the field which includes product names and associated modifiers. Natural language processing is performed on the current publications to identify a particular word combination based on syntactic relationships. The current usage frequency of the particular word combination is compared to a historical usage frequency derived from a baseline. If the current usage frequency is significantly higher, an alert is generated indicating that the particular word combination represents a candidate trend. The word combination may be a syntactic n-gram. The current usage frequency is based on a first, recent time window, and the historical usage frequency is based on a second time window preceding the first time window.
12 Citations
20 Claims
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1. A method of identifying a potential product trend in a consumer field comprising:
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receiving a lexicon of product names and name modifiers for the consumer field, by executing first instructions in a computer system; receiving a historical baseline of word combinations wherein a given word combination includes one of the product names associated with one or more of the modifiers, by executing second instructions in the computer system; receiving a list of influencers in the consumer field, by executing third instructions in the computer system; monitoring electronic media over time for current electronic publications of the influencers, by executing fourth instructions in the computer system; performing natural language processing on the current electronic publications to identify a particular one of the word combinations, by executing fifth instructions in the computer system; determining that a current usage frequency of the particular word combination is greater than a historical usage frequency of the particular word combination derived from the historical baseline, by executing sixth instructions in the computer system; and responsively generating an alert indicating that the particular word combination represents a candidate trend, by executing seventh instructions in the computer system. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A computer system comprising:
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one or more processors which process program instructions; a memory device connected to said one or more processors; and program instructions residing in said memory device for identifying a potential product trend in a consumer field by receiving a lexicon of product names and name modifiers for the consumer field, receiving a historical baseline of word combinations wherein a given word combination includes one of the product names associated with one or more of the modifiers, receiving a list of influencers in the consumer field, monitoring electronic media over time for current electronic publications of the influencers, performing natural language processing on the current electronic publications to identify a particular one of the word combinations, determining that a current usage frequency of the particular word combination is greater than a historical usage frequency of the particular word combination derived from the historical baseline, and responsively generating an alert indicating that the particular word combination represents a candidate trend. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A computer program product comprising:
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a computer readable storage medium; and program instructions residing in said storage medium for identifying a potential product trend in a consumer field by receiving a lexicon of product names and name modifiers for the consumer field, receiving a historical baseline of word combinations wherein a given word combination includes one of the product names associated with one or more of the modifiers, receiving a list of influencers in the consumer field, monitoring electronic media over time for current electronic publications of the influencers, performing natural language processing on the current electronic publications to identify a particular one of the word combinations, determining that a current usage frequency of the particular word combination is greater than a historical usage frequency of the particular word combination derived from the historical baseline, and responsively generating an alert indicating that the particular word combination represents a candidate trend. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification