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TextDigger Overview
WHAT: TextDigger makes your Web pages more findable, both to outside search engines such as Google and to other pages within the same site via cross links and related search. The result is increased revenue from higher inbound traffic and longer sessions.
HOW: TextDigger's technology reads the content of a Web page and automatically generates semantic tags. These tags go beyond simple keywords...More»
WHAT: TextDigger makes your Web pages more findable, both to outside search engines such as Google and to other pages within the same site via cross links and related search. The result is increased revenue from higher inbound traffic and longer sessions.
HOW: TextDigger's technology reads the content of a Web page and automatically generates semantic tags. These tags go beyond simple keywords to reflect concepts and context--that is, what the words mean and how they are used. In turn, this richer indexing enables greater findability.«Less
Tags:
- TextDigger
- Search
- sematic
- sematics
- visibility
- Traffic
- text
- keywords
- seo
- Semantic
- natural language processing
- NLP
- semantic search
- semantic search engine
- Semantic Web
- web 3.0
- web3.0
- meaning-based search
- meaning-based search engine
- Data
- Information
- automatic content tagging
- keyword generation
- related search
- search suggestions
Key People
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Funding
| Date | Type | Capital Amount | Post-Money Valuation | Investors |
|---|---|---|---|---|
| 2007 | Seed | 1.5M | Unknown | |
| 06/2008 | Series A | 3.8M | Unknown |
Products
| Name: | Digger |
| Product URL: | https://digger.com/ |
| Description: | Semantic Search, Navigation and Optimization Solutions - Automatic content tagging Tags are words or phrases that are associated with a web page or collection of pages. They enable users to engage with a web site in ways that were not previously possible and are becoming commonplace. However, creating and maintaing tags is most often done manually, a process that is time-consuming and prone to inconsistencies. TextDigger's automatic tagging system enables highly-scalable, consistent content tagging to improve search engine optimization (SEO), site stickiness and ad targeting opportunities. - Keyword generation Effective use of keywords is one of the most important ways to rank well on search engines. TextDigger's keyword generation system analyzes the content of your page relative to the myriad pages on the web to recommend valuable, relevant keywords and phrases that will make a dramatic improvement to search engine ranking. Even pages that have already been manually optimized benefit from the depth and breadth of coverage of TextDigger's keyword generation solution. - Related search TextDigger's related search system suggests alternative, related or equivalent words and phrases for a site visitor's search query to improve the search experience, use of site search and monetization of search visits. Instead of being limited to hit-or-miss searching, search suggestions enable your visitors to find what they seek more quickly as well as discover related information. TextDigger's related search technology goes beyond purely statistical methods such as collaborative filtering in order to overcome cold start issues even in environments with sparse query data, where there is a large volume of search queries but few similarities among them. |
Competitors
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Page Information
07/31/2008 06:25AM by solphusion
User Opinions
Bulls vs. Bears (2)
| Bullish Opinions (2) | Author/Date | Do you agree? | |
|---|---|---|---|
|
Smart idea for web marketers |
green33 06/30/2008 |
  |
100% 1 vote 1 0% 0 |
|
Should be very popular given the importance of improving SEO |
yoda 06/19/2008 |
|
100% 2 votes 2 0% 0 |
| Bearish Opinions (0) | ||||
|---|---|---|---|---|
| Be the first to tell us why they are destined to stumble. | ||||
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| Alexa Rank: | 916471 |  |
1066561 |
| Yahoo Search Results: | 5,580 | ||
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Semantic search startup TextDigger unearths a business model, and some venture funding
Jun 19, 2008 - 0 comments
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