What are Advanced Expressions?

Expressions are logic gates that allow you create rules for your keywords. The rules are based on keywords and phrases, but Expressions allow you to further refine which keywords and phrases get allocated to which Topic.

An example expressions could be save AND time. This will allocate all feedback to a topic if the feedback has BOTH "save" and "time" as keywords.

Advanced Expressions allow you to:

Differentiate similar expressions, for example, "break", "broken" and "busted".
Combine 50/100 or 150 variations of keywords for example, "package", "parcel" and "pack" etc.
Match keywords such as "knee0012", "X of Y" and "iPhone 3".

Thanks to Expression editor, creating powerful key expressions is easy in Lumoa. The AI understands key expressions and will suggest new topics and key phrases accordingly.

Before you begin

Expressions can be accessed while Editing Topics. To edit and manage topics follow these steps:

Navigate to the Impact page.
From Topics Widget, click on the Pen icon. ✏️

Then, select a Topic. Expressions for that Topic will appear empty unless some have already been added:

Advanced Expressions Examples

AND

In the example below, we are adding the words app and easy to an expression, with the AND command in the middle. This will make it so that only feedback that has both easy and app will go to this Topic.

OR

Another expression might be the OR command, as shown below. The following expression will allocate feedback to this Topic if it contains either the words great OR easy:

NOT

We can also use expressions to disallow feedback from being allocated to a Topic. In the below example, if a feedback contains the word slow, it will NOT get allocated to this Topic if the feedback also contains the word app:

Below are some additional examples for how you can create your own syntax. Note that this can get quite complex if needed, and you can contact [email protected] for assistance.

Expression name	Expression syntax	Matching example	Not matching example
AND expression	slow AND app	App is slow, slow app	app, slow
OR expression	(slow OR fast) AND app	app is fast, slow app	blue app, fast slow
NOT expression	slow AND NOT app	service is slow, slow delivery	slow app, app is slow
Tag property	tags.platform=ios	(feedback having ios tag)	(feedback not having ios tag)
Comment property	comment='-'	-	--, -me, hello
Translated comment	translatedComment=''	(empty comment)	a, hello, anything
Sentiment Category	sentenceCategory='Negative'	Bad, Horrible, Poor	Great!, ok, banana
Sentence Text	sentenceText='hi'	hi	h, hi you, hi!, HI

Please find this Excel document with examples of Advanced Expressions. Below is the same list with references.

See reference results of using the above example excel:

## categorizing: 

* 'Missing packet' 
* ('Packet', 'Packet', 'Content missing') 

* 'Lost packet' 
* ('Packet', 'Packet', 'Content missing') 

* 'Lost my packet' 
* ('Packet', 'Packet', 'Content missing') 

* 'Lost my blue broken packet' 
* ('Packet', 'Packet', 'Content missing') 

* 'Lost my 3 blue broken packets' 
* ('Packet', 'Packet', 'Content missing') 

* 'Lost few packets' 
* ('Packet', 'Packet', 'Content missing') 

* 'Missing parcel' 
* ('Packet', 'Packet', 'Content missing') 

* 'Lost parcel' * ('Packet', 'Packet', 'Content missing') 
* 'didn't receive package' 

* ('Delivery', 'Delivery', 'Not delivered') 
* 'didn't receive' * ('Delivery', 'Delivery', 'Not delivered') 

* 'Missing one packet' 
* ('Packet', 'Packet', 'Content missing') 

* 'Missing two packets' 
* ('Packet', 'Packet', 'Content missing') 

* 'Missing 3 packets' 
* ('Packet', 'Packet', 'Content missing')

* 'Packet haven't come' 
* ('Delivery', 'Delivery', 'Not delivered') 

* 'Packet didn't come' 
* ('Delivery', 'Delivery', 'Not delivered') 

* 'Packet haven't arrived' 
* ('Delivery', 'Delivery', 'Not delivered') 

* 'Packet didn't arrive' 
* ('Delivery', 'Delivery', 'Not delivered') 

* 'packet late' 
* ('Delivery', 'Delivery', 'Late') 

* 'parcel is late' 
* ('Delivery', 'Delivery', 'Late') 

* 'box is very late' 
* ('Delivery', 'Delivery', 'Late') 

* 'it was supposed arrive by 24.8' 
* ('Delivery', 'Delivery', 'Late') 

* '1/3 packages were missing' 
* ('Packet', 'Packet', 'Content missing') 

* '1 of 2 packages is missing' 
* ('Packet', 'Packet', 'Content missing') 

* '2 out of 3 packages are missing' 
* ('Packet', 'Packet', 'Content missing') 

* 'it's easy' 
* ('Easiness', 'Easiness', 'Easiness') 

* 'difficult to navigate' 
* ('Easiness', 'Easiness', 'Easiness') 

* 'broken package' 
* ('Delivery', 'Delivery', 'Broken package') 

* 'have a break' 
* ('Breaks', 'Breaks', 'Breaks') 

* 'breaks are too short' 
* ('Breaks', 'Breaks', 'Breaks') 

* 'sarah was amazing' 
* ('Staff', 'Staff', 'Staff') 

* 'bob said hello' 
* ('Staff', 'Staff', 'Staff') 

* 'people were very professional' 
* ('Staff', 'Staff', 'Staff') 

* 'didn't receive sms' 
* ('Sms', 'Sms', 'Sms')

E.g. The Packet / Packet / Content Missing topic expressions such as these:

(missing|lost) {package description}? {package}

Successfully categorizes the following feedback:

* 'Missing packet' 

* 'Lost packet' 

* 'Lost my packet' 

* 'Lost my blue broken packet' 

* 'Lost my 3 blue broken packets' 

* 'Lost few packets' 

* 'Missing parcel' 

* 'Lost parcel'

See table structure example:

Expression name	Expression syntax	Matching example	Not matching example
exact text field	text:broken	broken	BROKEN, Broken, bRokEn
lowercase text field	lowercase:broken	broken, Broken, BROKEN	break
lemma field	lemma:apple	apple, apples, APPLES	banana
noun type	is:noun	'work' as in 'great work'	'work' as in 'does not work'
verb type	is:verb	'work' as in 'does not work'	'work' as in 'great work'
adjective type	is:adjective	'stable' as in 'stable app'	'stable' as in 'horse stable'
number type	is:number	2, 3, 100	two, three, hundred
date type	is:date	1.11.2022	1st may, 1/1/2022
email type	is:email	[email protected]	www.lumoa.me
address type	is:address	Puutie 1, Puutie 1 a 2	Puutie A, puutie 1, puutie 1 a 2
alternatives	blue banana\|apple	blue banana, blue apple	banana, red apple, orange
optional	missing large? box	missing box, missing large box	missing banana box
kleene's star	so very* late	so late, so very very late	so banana late
reference	missing {packet-like}	missing package, missing packet	lost package, missing banana
phrase	"it's banana"	it's banana, it's bananas	its banana, it's orange
regular expression	`\\d+/\\d+`	1/2, 2/3, 4/12	one/two, 1.5/2, 1 / 2, 1/two
pipe	work > is:noun	'work' as in 'great work'	banana, work as in 'i work had'

Advanced Expressions AND, OR, and NOT

# categories: 

* General/General/General 
* Speed/Speed/Service speed 
* service AND slow 

* Speed/Speed/Customer service speed 
* customer service AND (slow OR fast) 

* Speed/Speed/App speed 
* app AND slow 

* Speed/Speed/Speed general 
* slow AND NOT (service OR app OR customer service) 

* Bugs/Bugs/iOS 
* bugs AND tags.platform='ios' 

* Bugs/Bugs/Android 
* bugs AND tags.platform='android' 

* Bugs/Bugs/Bugs general 
* bugs AND tags.platform=null 

* Bugs/Bugs/Other platforms 
* bugs AND NOT (tags.platform='android' OR tags.platform='ios' OR tags.platform=null) 

* Question/Question/Customer 
* {question word} AND tags.cnv_actor='customer' 

* Question/Question/Agent 
* {question word} AND tags.cnv_actor='agent' 

* Question/Question/First 
* {question word} AND tags.cnv_index=1 

* Question/Question/Speed 
* {question word} AND {speed} 

* Number/Number/Number 
* tags.number=-1.5 

* Nothing/Nothing/Nothing 
* translatedComment='' 

* Greetings/Greetings/Finnish 
* comment='Terve' 

* Sentiment/Sentiment/Negative 
* sentimentCategory='Negative' 

* Highlight/Highlight/Highlight 
* isHighlight=true 

* Sentence match/Sentence match/Sentence match 
* sentenceText='Sentence match'

Then the categorized texts:

* 'good!' 
* General/General/General 

* 'app is slow' 
* Speed/Speed/App speed 

* 'slow app' 
* Speed/Speed/App speed 

* 'service is slow' 
* Speed/Speed/Service speed 

* 'slow service' 
* Speed/Speed/Service speed 

* 'customer service is fast' 
* Speed/Speed/Customer service speed 

* 'slow customer service' 
* Speed/Speed/Customer service speed 

* 'it's slow' 
* Speed/Speed/Speed general 

* 'both app and service are slow' 
* Speed/Speed/Service speed 

* Speed/Speed/App speed 
* 'both app and service are slow' 

* Speed/Speed/Service speed 
* Speed/Speed/App speed 

* 'bugs' (tags.platform=ios) 
* Bugs/Bugs/iOS 

* 'bugs' (tags.platform=android) 
* Bugs/Bugs/Android 

* 'bugs' (tags.platform=windows) 
* Bugs/Bugs/Other platforms 

* 'bugs' (tags.platform=None) 
* Bugs/Bugs/Bugs general 

* 'How can I order a sim card?' (tags.cnv_actor=customer) 
* Question/Question/Customer 

* 'What's your name?' (tags.cnv_actor=agent) 
* Question/Question/Agent 

* 'What's this place?' (tags.cnv_index=1) 
* Question/Question/First 

* 'Why the app is so slow?' 
* Speed/Speed/App speed 

* Question/Question/Speed 
* '' (tags.number=-1.5) 

* Number/Number/Number 
* '' (translatedComment=) 

* Nothing/Nothing/Nothing 
* '' (comment=Terve) 
* Greetings/Greetings/Finnish 

* 'This is a highlight' (isHighlight=True) 
* Highlight/Highlight/Highlight 

* 'This is negative sentiment' (sentimentCategory=Negative) 
* Sentiment/Sentiment/Negative 

* 'Sentence match' (sentenceText=Sentence match) 
* Sentence match/Sentence match/Sentence match