SezWho a universal profile, content discovery, and a sophisticated reputation engine provider, has announced its acquisition of Tejit, a provider of semantic intelligence solutions. The acquisition enables SezWho to provide more precise contextual reputation scores for contributors based on topics of conversation. ReadWriteWeb gives you an in-depth look into SezWho's latest acquisition and how SezWho measures up to the competition.Today
Sezwho, Tejit, and Semantics
Tejit CEO Indus Khaitan began developing Tejit in 2007 as a personal project when he became frustrated reading duplicate content from the 1000+ blogs he had bookmarked. Since then, Tejit has expanded its analysis capabilities across millions of blogs. Tejit's semantic-analysis engine uses Natural Language Processing (NLP) and semantic matching technology to identify topics, sentiments and entities present in web content.
A Flawed Tradition
According to SezWho CEO, Jitendra Gupta,
The traditional method of content discovery based on the similarity of content is not adequate for connecting conversation across social sites in a meaningful way. A new level of context-sensitive, semantic discovery is required to reflect all the layers of users' participation across the social web, and to track their contributions in a way that is universally relevant both within and across communities.
There's no doubt that the traditional rating system for comments has its flaws. In a post titled "Disqus Clout: Fail!", Phil Glockner of Scribkin points out one of the biggest flaws of comment rating systems using Disqus as an example. In the comments section, Louis Gray sums up the problem nicely:
I would expect it rewards those who comment most frequently, and wouldn't be so much a subjective view.
More Than Just A Rating System
Instead of replacing your comment system, SezWho aims to augment the conversations. Keeping the aforementioned flaw in mind, SezWho considers two important factors that: distributed conversations and the people behind them. SezWho provides a meta network information around participants and context. The context has information from various platforms to allow data and content to reside within the community. The service captures valuable information about the history and expertise of individual contributors. Community ratings are only a portion of the cumulative rankings for an overall score.
Adding Noise or Resolving Issues?
With all that SezWho adds, it can be argued that some of it will amount to more noise for users. While, we've previously used SezWho here on ReadWriteWeb to enhance our community, some of our writers are using the less complicated Disqus platform on their personal blogs. We wonder if the amount of blog coverage has also affected SezWho's userbase compared to Disqus, which has seen tremendous coverage since its launch.
With SezWho, other important issues are being tackled beyond their enhanced reputation system such as keeping track of conversations over a plethora of platforms and enabling a more sophisticated way to discover relevant content. SezWho aims to enhance communities rather than replace them,but can they filter the noise that's add everyday?