Concept Topics

Other kinds of categorizers take lots of work to set up and/or are inherently brittle.

A conservative estimate for a query based categorizer with 100 buckets is probably on the order of 50 hours to get it up and running, and then you will have ongoing efforts to ‘tweak’ your category definitions as that one piece of rogue content gets misclassified.

Lexalytics Concept Topics are designed to reduce the burden of this configuration through the use of our new Concept Matrix which has been generated from all of the content in Wikipedia™.

In the Salience Five release package, we ship with a number of example Concept Topics. Here are two of them. The words next to "Food and Agriculture" are literally all there is to the definition of the Concept Topic

Agriculture farming, agriculture, farmer
Food food, meals, vegetable, meat, fruit

Consider the following sentences and you can see how they match to each of the concept topics:

	Food	Agriculture
I like chicken.	0.58	No match
I like chickens.	No match.	0.71
I like to eat chicken.	0.59	0.51

Here are a few other examples from the Salience Five release:

Aviation aviation, airplane, flying
Banking banking, bank, mortgage, checking, savings
Beverages beverage, alcohol, soda
Biotechnology biotech, biotechnology, applied_biology, gene_therapy, genetic_engineering
Business business, management, executive, company, shareholder, mba
Crime crime, murder, arrested, theft, burglary, criminal, arraignment
Disasters disaster, tornado, earthquake, volcano, meteor, apocalypse, explosion, devastation
Economics economics, economist, GDP, game_theory, demand_curve

So, the sentence "American Airlines had to announce a gate change." correctly categorizes to Aviation, even though the word "Airline" doesn't occur anywhere in the aviation category.

Concept Topics will revolutionize categorization. Read on if you'd like to understand how much easier to use they are than other techniques.

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