Intelligent process automation

The key is context

Text comprehension by SentiSquare.

Help me with this

Processing problems
text communication

! 1

Language is complex

Complex morphology
Multitling of words
Slang terms
Typos
Sarcasm and irony

! 2

Communication is specific

Product-specific slang
Specific problems faced by customers
Each company has its own language

! 3

Communication is dynamic

New Trends
New Topics
What was half a year ago does not apply now
Unexpected problems

SentiSquare Solutions

in 3 steps

General knowledge about the language are encoded in a pre-trained language model. In this way, we cover common understandings.
K discovery of common patterns in client data machine learning is used without supervision. Generic language models are tailored to understand the specifics of client data.
Supervised machine learning is used to interpret patterns in a way that is needed. In this way, we provide solutions for business-specific problems in text processing and analysis.

Distributive semantics

SentiSquare NLP technology is based on distributive semantics. This approach allows us understand the meaning of the text without human supervision. The basic principle is: “The word is characterized by the society in which it occurs” (Firth, 1957).

Words have a similar meaning when they occur in similar contexts. Thanks to this, we can quantify the meaning of words: text can be expressed as a vector in a semantic space with a high dimension, which contains information about the distribution of words across contexts (hence the term distributive semantics comes from).

Tailor-made models

State-of-the-art techniques of partially supervised machine learning allow you to train your own NLP models directly on specific data of a given company, thus achieving near-human success rates. Linguistically independent perception of context makes our technology suitable even for less used languages.

Distributive semantics

The secret ingredient of the SentiSquare No-Code NLP platform is distribution semantics. The main idea behind distributive semantics is: “Meaning follows from context”. We extract the correct meanings from your texts. Within minutes, your data will be sorted, categorized, and you'll know what's in it.

Exception Handling

The SentiSquare No-Code platform enables the addition of exception handling rules and joining models into complex systems. Thanks to this, you always have text processes under control during daily operations.