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Natural Language Search Engine

Natural Language Processing vs Natural Language Understanding

Remember diagramming sentences in school? Turns out the computer does it better (and more easily.) The machine disassembles language — in order to assemble a human-like understanding. That’s the beginning of Natural Language Processing.

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Understanding Is the Key to Natural Language Search

Most QA systems are nothing more than keyword matches with a robust FAQ. Our system goes deep to understand intent — including determining synonyms. 

 

Search Box Just Starts the Quest 

Most search starts with a keyword or two. Then we add or eliminate words to refine the results. Once you get that list of links — you need to open, download, and devour — before finding the right answer. 

But what if we could skip all those steps?

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Querying the Old Way

Resumes OR CV AND Developer OR “Software Engineer” AND "Java Script" AND San Francisco OR SF NOT (title:example OR title:sample)

Querying the NLP Way

I need all resumes of Java Script developers in San Francisco.

How Natural Language Search Engines Work

A natural language search engine must be able to take the request (whether spoken or typed into a box) break it into parts of speech, figure out what you’re looking for — and what you aren’t, and what to include and turns it into the query that it can submit to a database or search system in order to return the results right back to you.

Elements of AI-Powered Search

Augmented Intelligence

There’s nothing artificial about intelligence. Augmented intelligence is when AI extends human judgment instead of replacing it.

Machine Learning

Machine learning and search engines are a incredible combination for creating powerful experiences for customers and employees.

Clustering & Classification

How clustering and classification algorithms can improve the search experience for your employees and customers.

Query Analysis

Underperforming queries aggravate everyone. Head/tail analysis stops it.

Signal Capture & User Behavior

Users are constantly telling you what they like and what they don’t. Are you listening? Predict user intent by applying signals.

Indexing

The best search applications index all of a company’s data so users have one unified search experience.

Hyper-Personalization

Personalization is about addressing people by name. Hyper-personalization is figuring out what they really want.

Natural Language Search

What if we could talk to computers in the same way we talk to people. Natural language search gets you there.