Demos

Named Entity Recognition (NER) automatically identifies words or phrases of a special meaning in texts and classifies them into groups (e.g. persons, organizations, locations and misc.).
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The task of document classification (DC) is to assign one ore more labels to a text document (e.g. politics, sport, economy etc.)
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Language detector is able to detect the following languages: Bulgarian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Greek, Hungarian, Chinese, Italian, Japanese, Korean, Latvian, Lithuanian, Polish, Portuguese, Romanian, Russian, Slovak, Slovene, Spanish, Swedish
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Sentiment analysis assigns sentiment value to a sentence. The current sentiment labeles include positive, neutral and negative. The demo features Czech and English model. Additional models can be trained or provided on request by e-mail.
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