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Sentimentics


Do you accurately want to analyse unstructured data sets in terms of sentiment and distinct emotions?

Sentimentics offers you algorithms that are able to extract sentiment and over 30 distinct emotional variants out of text with great precision. The algorithms are able to analyze the text at different semantic levels, creating the ability to do more than other sentiment analysis algorithms.

Sentimentics is able to extract sentiment and distinct emotions at text-level, but also, more specifically, able to extract sentiment and distinct emotions at keyword-level in that text. Furthermore, Sentimentics also offers survey-level analysis, which returns a likert-scale score based on the question and the answer. Using these types of analysis gives you a range of possibilities in several domains.

Sentimentics offers REST API and On-Premises solutions giving the power to use Sentimentics how you wish within your software solution.


Application domains »

Algorithm performance





Latest partners



NWO
TU Delft
NSCR
NSCR
Stichting Abbas
NWO
TU Delft
NSCR
Stichting Abbas


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