IBM supercomputer Watson has learned to analyze the emotional texts
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POSTER: computer news || IBM SUPERCOMPUTER WATSON HAS LEARNED TO ANALYZE THE EMOTIONAL TEXTS |
DATE:2015-07-19 |
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Robots are already playing on the stock exchange, analyzing not only the movement of the stock price chart and currencies, but also the ability to influence the economic processes in the global news network. This may explain the frequent verbal intervention - Information stuffing in the financial sector are increasingly being made with an eye on the opportunity to earn. Machine translation system has matured to such an extent that they allow, if still quite clumsily, to convert the spoken word from one language to another in-time, near-real. IBM has admitted that uses its Watson supercomputer systems for the analysis of emotional coloring of texts in English. There are three of consolidated criteria: emotional component (positive emotions, negative emotions and anger), the social component (openness, the propensity to cooperate and general level of consciousness), stylistic component (tendency to analysis, confidence in their own words, restraint in the estimates).  Results of the text analysis are presented in graphical form, allowing to see what components prevail. Moreover, IBM Watson is able to offer synonyms that make a particular expression of a more emotionally vivid or subdued. Related Products : | ||
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IBM SUPERCOMPUTER WATSON HAS LEARNED TO ANALYZE THE EMOTIONAL TEXTS |
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