semantic case the software for the Semantic Analysis of texts continues to be enriched with important features for increase the ability to analyze written texts.

Sentiment analysis has been updated with important new features and upgrades.

Sentiment analysis allows you to classify the opinions and experiences expressed in a written or spoken text to evaluate subjective information, opinions and feelings from the observed content sources. This analysis makes it possible to interpret what is indicated by the subjects who produce "judgments" (ie texts bearing opinions or opinion holders).

The important news on the Sentiment Analysis of Semantic cases concern:

Major upgrade of the sentiment dictionary with over 27.000 words of sentiment attentive, with the specification of different grading of polarity.

Distribution of sentiment on co-variations of the text to check which variables have the greatest impact on the distribution of sentiment.

Refined calculation of sentiment by sentences including value shifter analysis that is, those words capable of shifting the value of sentiment (strengthening it, decreasing it or even inverting it).

Integration of the analysis of emotions (words carrying emotions) and emotions denied on the basis of the modeling of the Plutchick flower (Plutchik's Eight).

These important additions make it possible to provide Semanticase users with an in-depth analysis system of sentiment and emotions.

These tools are particularly suitable in HR or in training, for example for:

  • Climate surveys,
  • Questionnaires or surveys on training users,
  • Analysis of written documents (training or recruiting),
  • Analysis of internal communication or people analytics;

or more generally in projects of customer care.

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