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Understanding natural language the way native speakers do

 
 
 

SentiLecto - NLU engine

 

Understanding natural language the way native speakers do

SentiLecto is our NLU engine for Spanish & Portuguese. This Entity-based Sentiment Analysis solution yields a highly fine-grained representation for the sentiment values involved in each opinion. Unlike other approaches, this solution can deal with polarity shifting in the same sentence ('I like chocolate but I hate strawberry ice-cream'), within embedded clauses ('Norwegians, who are an aggresive People, export the exquisite herring'), or even onto the very same word ('Somebody who wasted a chance to do something' means that person did something bad about something good).

SentiLecto better represents the premise whereby the entities involved in the opinion are syntactically mapped onto SVO (subject-verb-object) slots for their sentiment assignments: 'Mary hates John' (two entities but only the direct object has a negative presentation) vs. 'Mary defames John' (the same two entities but only the subject has negative presentation).

SentiLecto leans on outstanding linguistic features such as: passive/active voice transformation, negation scope, anaphora resolution and co-reference chains, ellipsis, modality treatment, semantic features (animity and others) and accurate verbal frames for all verbs, even with 'se-impersonal' usages ('se mostraron retratos' = 'alguien mostr√≥ retratos' = 'somebody showed portraits') and 'se-clitic' usages (for example, plain action 'mostrar' 'to show something' vs. 'mostrarSE' 'to show yourself, namely to feel some way before a situation').

It can recognize & classify named-entities (NERC) with identity matching. Also, SentiLecto can identify whether or not an utterance is a real fact (fact mining), normalizing facts through deep understanding of syntax and semantics  

 
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SentiLecto

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