Key Phrases for Better Search

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Sematext Group, Inc.

Content Analytics for Better Search Otis Gospodneti ć ••• Sematext International

About Otis Gospodneti ć ,[object Object]

Entrepreneur: Simpy (2004), Lucene Consulting (2005), Sematext Int'l (2007)

Search (Lucene, Solr, Elastic Search...)

Example: Named Entities ,[object Object]

Content Analysis: Key Phrases ,[object Object]

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Key Phrases for Better Search

1. Content Analytics for Better Search Otis Gospodneti ć ••• Sematext International

3. Basic Search

4. Taming Search Results

5. Key Phrases

6. Beyond Search

8. Author: Lucene in Action 1 & 2

9. Entrepreneur: Simpy (2004), Lucene Consulting (2005), Sematext Int'l (2007)

10. Organizer: NY Search & Discovery Meetup

11.

12. Search (Lucene, Solr, Elastic Search...)

13. Web Crawling (Nutch)

14. Machine Learning (Mahout)

15. Basic Search

16.

17. Search results clustering (fuzzy)

18. Named Entity Recognition (NER)

19. Faceted search (structured input)

20. …

21. Example: Related Searches

22. Example: Results Clustering

23.

24. Example: Faceted Search

25.

26. Search results clustering

27. Named Entity Recognition (NER)

28. Faceted search

29.

30. Statistically Improbable Phrases (SIPs)

31. Example: Key Phrases & Search

32. Example: Key Phrases & Search

33.

34. Source: http://sematext.com/demo/kpe/

35. See: http://en.wikipedia.org/wiki/Collocation

36.

37. Source: http://sematext.com/demo/kpe/

38. See: http://en.wikipedia.org/wiki/Statistically_Improbable_Phrases

39. Language Models

40. Hybrid Key Phrases

41.

42. Navigation / Cross-linking / Site stickiness

43. Related content / At-a-glance “aboutness”

44. Trend spotting / Buzz monitoring

45. Social media

46. Customer reviews

47. Brand and market campaign monitoring

48. Book Content Analysis

49.

50. SIPs are not necessarily improbable within a particular book, but they are improbable relative to all books in Search Inside!. For example, most SIPs for a book on taxes are tax related. But because we display SIPs in order of their improbability score, the first SIPs will be on tax topics that this book mentions more often than other tax books. For works of fiction, SIPs tend to be distinctive word combinations that often hint at important plot elements.

51.

52.

53. now ← new text -> (now - 7 days) ← text -> (now - 14 days)

54.

55.

56. Language-awareness (POS)

57. Filtering (England v)

58.

59. blog.sematext.com

60. @ sematext

61. @ otisg

62. [email_address] Contact