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natural language processing

natural language processing

Finding frequently asked questions in Google with Natural Language Processing

It's pretty clear that Google searches are a key way people find businesses.  35% of referral traffic comes from search, versus 26% from social, a difference that appears to be growing.  

  • Ben Batorsky
6 min read
natural language processing

Identifying product mix, part 2: Implementation

In the previous post, we outlined one of the major challenges facing analytics here at ThriveHive; segmenting a business population that may not fall neatly into existing classification systems.  We came up

  • Ben Batorsky
5 min read
natural language processing

Identifying product mix: A bottom-up approach to segmenting a small business population

Part 1: Set up Typically methods for segmenting businesses have relied on standardized industry classification systems (e.g. NAICS).  However, the limitation of a top-down industry classification system is that it does

  • Ben Batorsky
3 min read
natural language processing

How the Words Used in Email Subject Lines Relate to Open Rates

 Previously, we found that the association between subject line length and email open rate varies by industry. In this blog post, I will use the same generalized linear model (GLM) to examine

  • Ben Batorsky
3 min read
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