Keyword and business tag extraction
An automated predictive analytics system disclosed herein provides a novel technique for industry classification. In one implementation, the analytic system provides a method of matching company names, the method including generating a provider-side company dataset, for each record in a client's company records, identify a list of match candidates from the provider side company dataset that has overlapping company signature fragments, for each client-side company, compute match scores against the list of provider-side match candidates on each signature fragment and form an overall match score, for each client-side company, use the match scores to rank candidates and keep a predetermined number of top predetermined matches, and display the predetermined number of top predetermined matches using a user interface.
1. A method of matching company names, comprising:
receiving a provider side company signature fragment for a provider company, the provider side company signature fragment based on a company name, address, website, or phone number;
receiving a client side company dataset having a client side company record related to a client side company;
identifying a provider side inexact match candidate based on a comparison of the provider side company signature fragment to the client side company record, the provider side inexact match candidate including an overlap of the provider side company signature fragment with the client side company dataset; and
outputting the provider side inexact match candidate.
2. The method of claim 1 , further comprising:
computing a match score for the provider side inexact match candidate; and
outputting the provider side inexact match candidate and the match score.
3. The method of claim 2 , further comprising:
ranking the provider side company based on the match score, and
identifying the ranking of the provider side match candidate as a top match for the client side company.
4. The method of claim 3 , further comprising:
outputting one or more of the provider side inexact match candidate, the match score, the ranking of the provider side company, and the identification of the ranking as the top match for the client side company.
5. The method of claim 1 , wherein the provider side company signature fragment for the provider company is included in a provider side company dataset, and further comprising generating the provider side company dataset by:
generating a provider company signature;
generating the provider company signature fragment based on the provider company signature;
generating a provider company name token based on the provider company signature fragment;
generating the provider company signature based on the provider company name token; and
generating the provider side company dataset based on the provider company signature.
6. The method of claim 1 , further comprising:
comparing multiple subsequences of the provider side company signature fragment to respective multiple subsequences of the client side company dataset; and
determining the provider side company signature fragment based on the comparison of the multiple subsequences of the provider side company signature fragment to the respective multiple subsequences of the client side company dataset.
7. The method of claim 6 , further comprising comparing at least one fuzzy subsequence of the provider side company signature fragment to a respective fuzzy subsequence of the client side company dataset.
8. The method of claim 6 , further comprising comparing at least one fuzzy subsequence of the provider side company signature fragment to a respective non-fuzzy subsequence of the client side company dataset.
9. The method of claim 1 , further comprising comparing the provider side company signature fragment to the client side company record based on a Levenshtein distance.
10. The method of claim 1 , further comprising comparing the provider side company signature fragment to the client side company record based on a cosine similarity.
11. The method of claim 1 , further comprising comparing the provider side company signature fragment to the client side company record based on a Euclidean distance.
12. The method of claim 1 , further comprising:
receiving the client side company dataset having multiple client side company records related to the client side company;
identifying multiple provider side inexact match candidates based on a comparison of the provider side company signature fragment to the multiple client side company records; and
computing a match score for the provider side match candidate based on each of the multiple provider side inexact match candidates.
13. The method of claim 12 , further comprising:
weighting each of the multiple provider side inexact match candidates; and
computing the match score for the provider side match candidate based on the weighted multiple provider side inexact match candidates.
14. The method of claim 1 , further comprising outputting the provider side inexact match candidate to a remote computing device, network, or server.
15. The method of claim 1 , further comprising outputting the provider side inexact match candidate to a display of a user interface.
16. The method of claim 1 , wherein the comparison of the provider side company signature fragment to the client side company record comprises determining importance and similarity of words in the provider side company signature fragment and the client side company record.
17. The method of claim 1 , wherein the comparison of the provider side company signature fragment to the client side company record comprises determining similarity of phonetic representations of words in the provider side company signature fragment and the client side company record.